Канал: Venkata Reddy AI Classes

What is the primary function of vector stores in LangChain?

What is the primary function of vector stores in LangChain?

GenAI & LLMs | Video 9 | Part 3 | Assignment-7 - Indian Penal Code Chatbot | Venkat Reddy AI Classes

GenAI & LLMs | Video 9 | Part 3 | Assignment-7 - Indian Penal Code Chatbot | Venkat Reddy AI Classes

In Convolution Neural Network(CNN), if we have input images with 9X9 pixels, and assume...

In Convolution Neural Network(CNN), if we have input images with 9X9 pixels, and assume...

GenAI & LLMs | Video9 |Part2 | Mastering Chatbots & Memory with Langchain | Venkat Reddy AI Classes

GenAI & LLMs | Video9 |Part2 | Mastering Chatbots & Memory with Langchain | Venkat Reddy AI Classes

What feature of LangChain allows for context preservation and statefulness in multistep workflows?

What feature of LangChain allows for context preservation and statefulness in multistep workflows?

GenAI & LLMs | Video 10 | Langchain Agents and Toolkits | Venkat Reddy AI Classes

GenAI & LLMs | Video 10 | Langchain Agents and Toolkits | Venkat Reddy AI Classes

In Convolution Neural Network(CNN), which layer is NOT fully conncetd/Densely connected ?

In Convolution Neural Network(CNN), which layer is NOT fully conncetd/Densely connected ?

GenAI & LLMs | Video9 |Part1 | Mastering Chatbots & Memory with Langchain | Venkat Reddy AI Classes

GenAI & LLMs | Video9 |Part1 | Mastering Chatbots & Memory with Langchain | Venkat Reddy AI Classes

Why are document embeddings important in handling user queries within RAG?

Why are document embeddings important in handling user queries within RAG?

In Convolution Neural Network(CNN), While working on image data, How do we deal with the pixels...

In Convolution Neural Network(CNN), While working on image data, How do we deal with the pixels...

What is the primary purpose of data chunking in the RAG framework?

What is the primary purpose of data chunking in the RAG framework?

In Convolution Neural Network(CNN),There are total N records in the data, if we 5 filters...

In Convolution Neural Network(CNN),There are total N records in the data, if we 5 filters...

What is the purpose of Output Parsers in LangChain?

What is the purpose of Output Parsers in LangChain?

What are the two packages of LangChain?

What are the two packages of LangChain?

What is a Sequential Chain in LangChain?

What is a Sequential Chain in LangChain?

How do input variables function within a prompt template?

How do input variables function within a prompt template?

What is a prompt template?

What is a prompt template?

How does a lower temperature value affect the output of LangChain's chat model?

How does a lower temperature value affect the output of LangChain's chat model?

What does the temperature parameter in LangChain adjust?

What does the temperature parameter in LangChain adjust?

What should you familiarize yourself with before working with vector stores?

What should you familiarize yourself with before working with vector stores?

What can happen when an LLM doesn't have an accurate answer to a query?

What can happen when an LLM doesn't have an accurate answer to a query?

In deep learning problems, While solving image classification problems, which method considers....

In deep learning problems, While solving image classification problems, which method considers....

ML with Python : Zero to Hero | Video 9 | Ensemble Model - Boosting | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 9 | Ensemble Model - Boosting | Venkat Reddy AI Classes

In deep learning problems, While solving sequntial data problems, which method considers the sequnt.

In deep learning problems, While solving sequntial data problems, which method considers the sequnt.

What does it mean when an LLM "hallucinates"?

What does it mean when an LLM "hallucinates"?

GenAI & LLMs | Video 8 | Part 2 | Assignment-6 - RAG | Venkat Reddy AI Classes

GenAI & LLMs | Video 8 | Part 2 | Assignment-6 - RAG | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 8 | Ensemble Model - Random Forest | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 8 | Ensemble Model - Random Forest | Venkat Reddy AI Classes

In Deep Neural Networks, which method looks at each record for optimization?

In Deep Neural Networks, which method looks at each record for optimization?

How does semantic search improve the results of RAG models?

How does semantic search improve the results of RAG models?

ML with Python : Zero to Hero | Video 7 | Part 2 | Cross Validation | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 7 | Part 2 | Cross Validation | Venkat Reddy AI Classes

In Recurrent Neural Networks n = dimension of hidden layer m = dimension of input....

In Recurrent Neural Networks n = dimension of hidden layer m = dimension of input....

What is the purpose of augmenting the LLM prompt with relevant retrieved data in a RAG model?

What is the purpose of augmenting the LLM prompt with relevant retrieved data in a RAG model?

ML with Python : Zero to Hero | Video 7 | Part 1 | Model Selection | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 7 | Part 1 | Model Selection | Venkat Reddy AI Classes

Kears is a deep learning framework on which tool

Kears is a deep learning framework on which tool

How does a system determine which documents are relevant to a user query in a RAG model?

How does a system determine which documents are relevant to a user query in a RAG model?

ML with Python : Zero to Hero | Video 6 | Part 3 | Decision Tree | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 6 | Part 3 | Decision Tree | Venkat Reddy AI Classes

RNN with single time stamp is technically equivalent to

RNN with single time stamp is technically equivalent to

What is the role of embedding language models in handling external data?

What is the role of embedding language models in handling external data?

In Convolution Neural Network(CNN), how many parameters are trained for one pooling layer?

In Convolution Neural Network(CNN), how many parameters are trained for one pooling layer?

In Convolution Neural Network(CNN), if we have 10 filters, each having size 3X3. Then how many...

In Convolution Neural Network(CNN), if we have 10 filters, each having size 3X3. Then how many...

ML with Python : Zero to Hero | Video 6 | Part 2 | Decision Tree | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 6 | Part 2 | Decision Tree | Venkat Reddy AI Classes

What happens if there are too many hidden layers and hidden nodes in a neural network.

What happens if there are too many hidden layers and hidden nodes in a neural network.

ML with Python : Zero to Hero | Video 6 | Part 1 | Decision Tree | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 6 | Part 1 | Decision Tree | Venkat Reddy AI Classes

How does Retrieval-Augmented Generation (RAG) work?

How does Retrieval-Augmented Generation (RAG) work?

What is local minima issue in neural network?

What is local minima issue in neural network?

Why is Retrieval-Augmented Generation (RAG) important for LLMs?

Why is Retrieval-Augmented Generation (RAG) important for LLMs?

What is one major problem with RNNs with too many time stamps?

What is one major problem with RNNs with too many time stamps?

What are the two main reasons for using prompt templates in LLMs?

What are the two main reasons for using prompt templates in LLMs?

ML with Python : Zero to Hero | Video 5 | Logistic Regression | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 5 | Logistic Regression | Venkat Reddy AI Classes

GenAI & LLMs | Video 7 | Part 3 | Assignment-5 | Venkat Reddy AI Classes

GenAI & LLMs | Video 7 | Part 3 | Assignment-5 | Venkat Reddy AI Classes

When to choose LSTM over RNNs

When to choose LSTM over RNNs

What is the primary advantage of using Lang Chain over a simple LLM API from OpenAI or Hugging Face?

What is the primary advantage of using Lang Chain over a simple LLM API from OpenAI or Hugging Face?

GenAI & LLMs | Video 8 | Part 1 | RAG (Retrieval Augmented Generation) | Venkat Reddy AI Classes

GenAI & LLMs | Video 8 | Part 1 | RAG (Retrieval Augmented Generation) | Venkat Reddy AI Classes

Which algorithm is used for finding the optimal weights in neural networks with multiple hidden lay.

Which algorithm is used for finding the optimal weights in neural networks with multiple hidden lay.

How should labels be realigned with tokenized input during fine-tuning in Hugging Face transformers?

How should labels be realigned with tokenized input during fine-tuning in Hugging Face transformers?

Which gate is NOT part of LSTM models

Which gate is NOT part of LSTM models

What does zero-shot prediction in LLMs rely on?

What does zero-shot prediction in LLMs rely on?

GenAI & LLMs | Video 7 | Part 2 | Model-IO (Lang Chain Models) | Venkat Reddy AI Classes

GenAI & LLMs | Video 7 | Part 2 | Model-IO (Lang Chain Models) | Venkat Reddy AI Classes

Which tool is best suited for solving Deep Learning problems

Which tool is best suited for solving Deep Learning problems

What is the main benefit of using the pipeline() function in the transformers library?

What is the main benefit of using the pipeline() function in the transformers library?

GenAI & LLMs | Video 7 | Part 1 | Model-IO (Lang Chain Models) | Venkat Reddy AI Classes

GenAI & LLMs | Video 7 | Part 1 | Model-IO (Lang Chain Models) | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 4 | Part 2| Regression Analysis | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 4 | Part 2| Regression Analysis | Venkat Reddy AI Classes

Why CNNs are preferred over ANN for image processing and computer vision problems?

Why CNNs are preferred over ANN for image processing and computer vision problems?

GenAI & LLMs | Video 6 | Part 3 | Assignment-4 | Venkat Reddy AI Classes

GenAI & LLMs | Video 6 | Part 3 | Assignment-4 | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 3 | Assignment-3 | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 3 | Assignment-3 | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 3 | Assignment-2 | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 3 | Assignment-2 | Venkat Reddy AI Classes

What is Hugging Face primarily used for in the context of machine learning?

What is Hugging Face primarily used for in the context of machine learning?

What does few-shot learning in large language models (LLMs) refer to?

What does few-shot learning in large language models (LLMs) refer to?

ML with Python : Zero to Hero | Video 4 | Part 1| Regression Analysis | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 4 | Part 1| Regression Analysis | Venkat Reddy AI Classes

What is a key application of large language models (LLMs)?

What is a key application of large language models (LLMs)?

ML with Python : Zero to Hero | Video 3 | Part 2| Data Cleaning | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 3 | Part 2| Data Cleaning | Venkat Reddy AI Classes

What does zero-shot learning in large language models (LLMs) refer to?

What does zero-shot learning in large language models (LLMs) refer to?

GenAI & LLMs | Video 2 | Part 3 | Assignment-1 | Venkat Reddy AI Classes

GenAI & LLMs | Video 2 | Part 3 | Assignment-1 | Venkat Reddy AI Classes

Which open-source language model is specifically designed for code generation?

Which open-source language model is specifically designed for code generation?

ML with Python : Zero to Hero | Video 3 | Part 1| Data Cleaning | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 3 | Part 1| Data Cleaning | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 2 | Part 2 | Basic Statistics | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 2 | Part 2 | Basic Statistics | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 2 | Part 1| Basic Statistics | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 2 | Part 1| Basic Statistics | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 1 | Introduction | Venkat Reddy AI Classes

ML with Python : Zero to Hero | Video 1 | Introduction | Venkat Reddy AI Classes

GenAI & LLMs | Video 6 | Part 2 | LangChain | Venkat Reddy AI Classes

GenAI & LLMs | Video 6 | Part 2 | LangChain | Venkat Reddy AI Classes

GenAI & LLMs | Video 6 | Part 1 | LangChain | Venkat Reddy AI Classes

GenAI & LLMs | Video 6 | Part 1 | LangChain | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 2 | Hugging Face models | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 2 | Hugging Face models | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 1 | Hugging Face Models | Venkat Reddy AI Classes

GenAI & LLMs | Video 5 | Part 1 | Hugging Face Models | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 2 | Word2Vec - Examples | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 2 | Word2Vec - Examples | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 1 | Introduction to Word Embeddings | Venkat Reddy AI Classes

GenAI & LLMs | Video 4 | Part 1 | Introduction to Word Embeddings | Venkat Reddy AI Classes

GenAI & LLMs | Video 3 | Part 2 | ANN - Algorithm | Venkat Reddy AI Classes

GenAI & LLMs | Video 3 | Part 2 | ANN - Algorithm | Venkat Reddy AI Classes

GenAI & LLMs | Video 3 | Part 1 | ANN - Artificial Neural Network | Venkat Reddy AI Classes

GenAI & LLMs | Video 3 | Part 1 | ANN - Artificial Neural Network | Venkat Reddy AI Classes

GenAI & LLMs | Video 2 | Part 2 | Logistic Regression | Venkat Reddy AI Classes

GenAI & LLMs | Video 2 | Part 2 | Logistic Regression | Venkat Reddy AI Classes

GenAI & LLMs | Video 2 | Part 1 | Linear regression | Venkat Reddy AI Classes

GenAI & LLMs | Video 2 | Part 1 | Linear regression | Venkat Reddy AI Classes

GenAI & LLMs | Video 1 | Part 2 | LLMs Introduction | Venkat Reddy AI Classes

GenAI & LLMs | Video 1 | Part 2 | LLMs Introduction | Venkat Reddy AI Classes

GenAI & LLMs | Video 1 | Part 1 | GenAI Introduction | Venkat Reddy AI Classes

GenAI & LLMs | Video 1 | Part 1 | GenAI Introduction | Venkat Reddy AI Classes

Machine Learning | Interview Questions | Venkat Reddy AI Classes

Machine Learning | Interview Questions | Venkat Reddy AI Classes

Generative AI Introduction | Venkat Reddy AI Classes

Generative AI Introduction | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 4 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 4 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 3 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 3 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 2 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 2 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 1 | Venkat Reddy AI Classes

Machine Learning Interview Questions | Part 1 | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 3 | Converting Text to Vectors - Word2Vec | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 3 | Converting Text to Vectors - Word2Vec | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 2 | Word-to-Vector: Contextual Word | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 2 | Word-to-Vector: Contextual Word | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 1 | Word Embedding: Text into Vectors | Venkat Reddy AI Classes

Deep Learning | Video 5 | Part 1 | Word Embedding: Text into Vectors | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 4 | Fundamentals of Long Short-Term Memory | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 4 | Fundamentals of Long Short-Term Memory | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 3 | Understanding RNN - Sequence Prediction | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 3 | Understanding RNN - Sequence Prediction | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 2 | Model Building for Word Prediction | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 2 | Model Building for Word Prediction | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 1 | Recurrent Neural Networks (RNN) & LSTMs | Venkat Reddy AI Classes

Deep Learning | Video 4 | Part 1 | Recurrent Neural Networks (RNN) & LSTMs | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 4 | CNN Models and Object Detection | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 4 | CNN Models and Object Detection | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 3 | CNN Architecture | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 3 | CNN Architecture | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 2 | Image Processing with CNN | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 2 | Image Processing with CNN | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 1 | Convolutional Neural Networks (CNN) | Venkat Reddy AI Classes

Deep Learning | Video 3 | Part 1 | Convolutional Neural Networks (CNN) | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 5 | Gradient Descent & Loss Functions | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 5 | Gradient Descent & Loss Functions | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 4 | Importance of Learning Rate | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 4 | Importance of Learning Rate | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 3 | Activation Functions in Neural Networks | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 3 | Activation Functions in Neural Networks | Venkat Reddy AI Classes

Video 4 | Driver Analysis Project Assignment

Video 4 | Driver Analysis Project Assignment

Video1 | Basic Descriptive Statistics

Video1 | Basic Descriptive Statistics

Deep Learning | Video 2 | Part 2 Regularization in TensorFlow Playground | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 2 Regularization in TensorFlow Playground | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 1 ANN Hyper parameters Regularization | Venkat Reddy AI Classes

Deep Learning | Video 2 | Part 1 ANN Hyper parameters Regularization | Venkat Reddy AI Classes

Deep Learning | Video 1 | Part 2 | Keras

Deep Learning | Video 1 | Part 2 | Keras

Deep Learning | Video 1 | Part 1 | Tensor Flow

Deep Learning | Video 1 | Part 1 | Tensor Flow

Decoding the R-Square Formula and Its Significance in Model Evaluation #RSquare #MachineLearning #ai

Decoding the R-Square Formula and Its Significance in Model Evaluation #RSquare #MachineLearning #ai

Detecting Multicollinearity: Key Metrics and Their Impact #Multicollinearity #MachineLearning #genai

Detecting Multicollinearity: Key Metrics and Their Impact #Multicollinearity #MachineLearning #genai

Unveiling the Relationship Between Random Forests and Ensemble Learning #RandomForest #genai

Unveiling the Relationship Between Random Forests and Ensemble Learning #RandomForest #genai

SSE and SSR Values: Decoding Their Importance in Good Models #SSE #SSR #ModelEvaluation #genai

SSE and SSR Values: Decoding Their Importance in Good Models #SSE #SSR #ModelEvaluation #genai

Assessing Goodness of Fit in Logistic Regression #LogisticRegression #GoodnessOfFit #genai

Assessing Goodness of Fit in Logistic Regression #LogisticRegression #GoodnessOfFit #genai

Exploring Large Margin Classifiers in SVM #LargeMarginClassifier #SVM #MachineLearning #genai

Exploring Large Margin Classifiers in SVM #LargeMarginClassifier #SVM #MachineLearning #genai

Evaluating Regression Line Goodness of Fit #GoodnessOfFit #RegressionLine #MachineLearning #genai

Evaluating Regression Line Goodness of Fit #GoodnessOfFit #RegressionLine #MachineLearning #genai

Assessing Variable Impact in Logistic Regression #LogisticRegression #VariableImpact #genai

Assessing Variable Impact in Logistic Regression #LogisticRegression #VariableImpact #genai

Measuring Variable Impact in Models: Essential Metrics #VariableImpact #MachineLearning #genai

Measuring Variable Impact in Models: Essential Metrics #VariableImpact #MachineLearning #genai

Tableau Assignments | Hands-On Practice & Projects for Data Analysis | Venkat Reddy AI Classes

Tableau Assignments | Hands-On Practice & Projects for Data Analysis | Venkat Reddy AI Classes

The Metric to Avoid in Decision Tree Splitting #DecisionTrees #MetricAvoidance #MachineLearning

The Metric to Avoid in Decision Tree Splitting #DecisionTrees #MetricAvoidance #MachineLearning

Decoding Validation Set Size in K-Fold Cross Validation #KfoldCrossValidation #datascience #genai

Decoding Validation Set Size in K-Fold Cross Validation #KfoldCrossValidation #datascience #genai

Unveiling How Regression Coefficients Are Calculated #RegressionCoefficients #MachineLearning #genai

Unveiling How Regression Coefficients Are Calculated #RegressionCoefficients #MachineLearning #genai

What Defines a Good Model in Machine Learning? #MachineLearning #GoodModel #DataScience #AI

What Defines a Good Model in Machine Learning? #MachineLearning #GoodModel #DataScience #AI

Models That Learn Noise: Identifying Overfitting #Overfitting #Noise #MachineLearning #genai

Models That Learn Noise: Identifying Overfitting #Overfitting #Noise #MachineLearning #genai

Key Metrics for Node Splitting in Decision Trees #DecisionTrees #NodeSplitting #MachineLearning

Key Metrics for Node Splitting in Decision Trees #DecisionTrees #NodeSplitting #MachineLearning

Measuring Association Between Continuous Variables: Effective Techniques #Statistics #DataScience

Measuring Association Between Continuous Variables: Effective Techniques #Statistics #DataScience

Tackling Multicollinearity in Logistic Regression: Key Metrics #LogisticRegression #MachineLearning

Tackling Multicollinearity in Logistic Regression: Key Metrics #LogisticRegression #MachineLearning

The Role of Soft Margin Classification in SVM #SVM #SoftMargin #Classification #MachineLearning

The Role of Soft Margin Classification in SVM #SVM #SoftMargin #Classification #MachineLearning

Neural Networks Simplified: The Impact of Having No Hidden Layers #NeuralNetworks #HiddenLayers #ai

Neural Networks Simplified: The Impact of Having No Hidden Layers #NeuralNetworks #HiddenLayers #ai

Understanding Entropy in Decision Trees #Entropy #DecisionTrees #MachineLearning #genai

Understanding Entropy in Decision Trees #Entropy #DecisionTrees #MachineLearning #genai

Origin of Decision Rules in Decision Trees #DecisionTrees #DecisionRules #MachineLearning

Origin of Decision Rules in Decision Trees #DecisionTrees #DecisionRules #MachineLearning

Interpreting Low Correlation Values: What Does It Mean? #Correlation #Statistics #DataScience

Interpreting Low Correlation Values: What Does It Mean? #Correlation #Statistics #DataScience

Deciphering SVM Output Values #SVM #OutputValues #MachineLearning #DataScience

Deciphering SVM Output Values #SVM #OutputValues #MachineLearning #DataScience

Understanding Predicted Values in Logistic Regression #LogisticRegression #PredictedValues #genai

Understanding Predicted Values in Logistic Regression #LogisticRegression #PredictedValues #genai

Multiple Solutions in SVM Problems: A Possibility? #SVM #MachineLearning #DataScience

Multiple Solutions in SVM Problems: A Possibility? #SVM #MachineLearning #DataScience

Gradient Descent: Optimizing Neural Networks #GradientDescent #NeuralNetworks #ErrorMinimization

Gradient Descent: Optimizing Neural Networks #GradientDescent #NeuralNetworks #ErrorMinimization

Unraveling Underfitted Models in Machine Learning #Underfitting #MachineLearning #DataScience

Unraveling Underfitted Models in Machine Learning #Underfitting #MachineLearning #DataScience

Selecting Kernels for SVM without Prior Data Knowledge #SVM #KernelTrick #MachineLearning

Selecting Kernels for SVM without Prior Data Knowledge #SVM #KernelTrick #MachineLearning

The Impact of Dropping High p-Value Variables on R-Square #PValue #RSquare #Statistics

The Impact of Dropping High p-Value Variables on R-Square #PValue #RSquare #Statistics

Spotting the Inaccuracy: Error Identification in Statements #CriticalThinking #DataScience #AI

Spotting the Inaccuracy: Error Identification in Statements #CriticalThinking #DataScience #AI

Identifying Non-Essential Parameters in Decision Tree Pruning #DecisionTrees #Pruning

Identifying Non-Essential Parameters in Decision Tree Pruning #DecisionTrees #Pruning

Decoding a Good R-Square Value in Logistic Regression #LogisticRegression #RSquare #MachineLearning

Decoding a Good R-Square Value in Logistic Regression #LogisticRegression #RSquare #MachineLearning

Power BI Video10 | Assignment 4: Power BI Bootcamp: Data Skills Workout | Venkat Reddy AI Classes

Power BI Video10 | Assignment 4: Power BI Bootcamp: Data Skills Workout | Venkat Reddy AI Classes

Exploring the Significance of R-Square in Regression Models #RSquare #RegressionModels #genai

Exploring the Significance of R-Square in Regression Models #RSquare #RegressionModels #genai

Strategies to Prevent Overfitting in Machine Learning Models #Overfitting #techtips

Strategies to Prevent Overfitting in Machine Learning Models #Overfitting #techtips

Power BI Video8 | Part 2 Assignment 3 - Conquer DAX: From Novice to Guru | Venkat Reddy AI Classes

Power BI Video8 | Part 2 Assignment 3 - Conquer DAX: From Novice to Guru | Venkat Reddy AI Classes

Choosing Between Logistic and Linear Regression #LinearRegression #MachineLearning #regression

Choosing Between Logistic and Linear Regression #LinearRegression #MachineLearning #regression

Overfitting Explained: Machine Learning's Pitfall #Overfitting #ModelBuilding #AI #TechTalk

Overfitting Explained: Machine Learning's Pitfall #Overfitting #ModelBuilding #AI #TechTalk

The Dangers of Overfitting in Machine Learning Models #Overfitting #mlprojects #Algorithms

The Dangers of Overfitting in Machine Learning Models #Overfitting #mlprojects #Algorithms

Power BI Video7 | PART 3 Assignment 2 : Unlock the Magic of Power Query | Venkat Reddy AI Classes

Power BI Video7 | PART 3 Assignment 2 : Unlock the Magic of Power Query | Venkat Reddy AI Classes

Choosing Logistic Regression Models with AIC #aic #LogisticRegression #TechInsights #genai

Choosing Logistic Regression Models with AIC #aic #LogisticRegression #TechInsights #genai

Variable Importance in Random Forest #RandomForest #variables #AI #MLModels

Variable Importance in Random Forest #RandomForest #variables #AI #MLModels

Power BI Video6 | Part 2 | Assignment 1 - Banking : Credit Risk Analytics | Venkat Reddy AI Classes

Power BI Video6 | Part 2 | Assignment 1 - Banking : Credit Risk Analytics | Venkat Reddy AI Classes

Deciphering Logistic Regression's Decision Boundary #logisticregression #BinaryClassification

Deciphering Logistic Regression's Decision Boundary #logisticregression #BinaryClassification

Unlocking SVM Capabilities with the Kernel Trick #SVM #KernelTrick #TechInsights #Algorithm

Unlocking SVM Capabilities with the Kernel Trick #SVM #KernelTrick #TechInsights #Algorithm

The Impact of Oversized Decision Trees #DecisionTrees #Overfitting #BigData #AI

The Impact of Oversized Decision Trees #DecisionTrees #Overfitting #BigData #AI

Ranking Variables in Logistic Regression #LogisticRegression #VariableImportance #feature #genai

Ranking Variables in Logistic Regression #LogisticRegression #VariableImportance #feature #genai

Support Vectors: The Pillars of SVM Models #SupportVectors #SVM #TechEducation #Algorithm

Support Vectors: The Pillars of SVM Models #SupportVectors #SVM #TechEducation #Algorithm

The Multiplicity of Solutions in Neural Network Problems #NeuralNetworks #DeepLearning #MLBasics

The Multiplicity of Solutions in Neural Network Problems #NeuralNetworks #DeepLearning #MLBasics

Mastering Validation in Boot Strap Cross Validation #Bootstrap #CrossValidation #ModelValidation #AI

Mastering Validation in Boot Strap Cross Validation #Bootstrap #CrossValidation #ModelValidation #AI

Boosting Models and the Essence of Sampling Techniques #Boosting #Sampling #AI

Boosting Models and the Essence of Sampling Techniques #Boosting #Sampling #AI

Hidden Layers in Neural Networks: Their Crucial Role #HiddenLayers #NeuralNetworks #DeepLearning

Hidden Layers in Neural Networks: Their Crucial Role #HiddenLayers #NeuralNetworks #DeepLearning

The Art of Pruning in Decision Trees #Pruning #DecisionTrees #MachineLearning

The Art of Pruning in Decision Trees #Pruning #DecisionTrees #MachineLearning

Deciphering the Gap Between R-Square and Adjusted R-Square #RSquare #AdjustedRSquare #AI

Deciphering the Gap Between R-Square and Adjusted R-Square #RSquare #AdjustedRSquare #AI

The Significance of Identical p-Values in Regression Lines #pValue #RegressionAnalysis #AI

The Significance of Identical p-Values in Regression Lines #pValue #RegressionAnalysis #AI

Sensitivity vs Specificity: Choosing the Right Metric #Sensitivity #Specificity #AI

Sensitivity vs Specificity: Choosing the Right Metric #Sensitivity #Specificity #AI

Navigating High p-Values in Regression Analysis #pValue #RegressionModel #Statistics

Navigating High p-Values in Regression Analysis #pValue #RegressionModel #Statistics

Neural Networks and the Perils of Too Many Hidden Layers #NeuralNetworks #HiddenLayers

Neural Networks and the Perils of Too Many Hidden Layers #NeuralNetworks #HiddenLayers

Tableau Video5 | PART 6 Data Visuals with Parameters & Reference Lines | Venkat Reddy AI Classes

Tableau Video5 | PART 6 Data Visuals with Parameters & Reference Lines | Venkat Reddy AI Classes

Starting with SVM: Planes and Margins #SVM #SupportVectors #MLBasics #AI

Starting with SVM: Planes and Margins #SVM #SupportVectors #MLBasics #AI

Tableau Video5 | PART 5 Dashboard Actions: Advanced Techniques | Venkat Reddy AI Classes

Tableau Video5 | PART 5 Dashboard Actions: Advanced Techniques | Venkat Reddy AI Classes

Boosting Algorithms: Impact of Increasing Trees #Boosting #AlgorithmTuning #AI #MLModels

Boosting Algorithms: Impact of Increasing Trees #Boosting #AlgorithmTuning #AI #MLModels

Ten-Fold Cross Validation Explained #CrossValidation #TenFold #AI

Ten-Fold Cross Validation Explained #CrossValidation #TenFold #AI

Tableau Video5 | PART 4 Working with Dates and Geolocation | Venkat Reddy AI Classes

Tableau Video5 | PART 4 Working with Dates and Geolocation | Venkat Reddy AI Classes

Interpreting AUC Results: A Comprehensive Guide #AUC #MachineLearning #DataScience

Interpreting AUC Results: A Comprehensive Guide #AUC #MachineLearning #DataScience

Tableau Video5 | PART 3 Data Model Relations: Analyzing Multiple Datasets | Venkat Reddy AI Classes

Tableau Video5 | PART 3 Data Model Relations: Analyzing Multiple Datasets | Venkat Reddy AI Classes

Is a 99.9% Model Accuracy Always Reliable #ModelAccuracy #Overfitting #MLModels

Is a 99.9% Model Accuracy Always Reliable #ModelAccuracy #Overfitting #MLModels

Random Forest: The Effect of Using All Independent Variables #RandomForest #AI #MLModels

Random Forest: The Effect of Using All Independent Variables #RandomForest #AI #MLModels

Tableau Video5 | PART 2 Creating Charts & Maps with Cumulative Values | Venkat Reddy AI Classes

Tableau Video5 | PART 2 Creating Charts & Maps with Cumulative Values | Venkat Reddy AI Classes

The Impact of Minimal Hidden Layers in Neural Networks #NeuralNetworks #HiddenLayers #DeepLearning

The Impact of Minimal Hidden Layers in Neural Networks #NeuralNetworks #HiddenLayers #DeepLearning

Tableau Video5 | PART 1 Geographic Analysis : Creating Graphs and Hierarchies

Tableau Video5 | PART 1 Geographic Analysis : Creating Graphs and Hierarchies

When Logistic Regression Fails: A Deep Dive #logisticregression #MachineLearning #DataScience #AI

When Logistic Regression Fails: A Deep Dive #logisticregression #MachineLearning #DataScience #AI

Decoding the SVM Kernel Trick #SVM #KernelTrick #TechEducation #Algorithm #DataAnalysis #excel

Decoding the SVM Kernel Trick #SVM #KernelTrick #TechEducation #Algorithm #DataAnalysis #excel

Tableau Video4 | Data Visualization: Practical Exercises & Formatting Tips | Venkat Reddy AI Classes

Tableau Video4 | Data Visualization: Practical Exercises & Formatting Tips | Venkat Reddy AI Classes

Tableau Video3 | Mastering Dashboard Creation : Step-by-Step Tutorial | Venkat Reddy AI Classes

Tableau Video3 | Mastering Dashboard Creation : Step-by-Step Tutorial | Venkat Reddy AI Classes

Tableau Video2 | PART 4 Understanding Bivariate Analysis | Venkat Reddy AI Classes

Tableau Video2 | PART 4 Understanding Bivariate Analysis | Venkat Reddy AI Classes

Tableau Video2 | PART 3 Analyzing Numerical Variables | Venkat Reddy AI Classes

Tableau Video2 | PART 3 Analyzing Numerical Variables | Venkat Reddy AI Classes

Tableau Video2 | PART 2 Mastering Tableau: Exploring Data Visualization | Venkat Reddy AI Classes

Tableau Video2 | PART 2 Mastering Tableau: Exploring Data Visualization | Venkat Reddy AI Classes

Tableau Video2 | PART 1 Credit Risk Analysis: Step-by-Step Guide | Venkat Reddy AI Classes

Tableau Video2 | PART 1 Credit Risk Analysis: Step-by-Step Guide | Venkat Reddy AI Classes

Tableau Video1 | PART 2 Quick Guide on Tableau Public | Venkat Reddy AI Classes

Tableau Video1 | PART 2 Quick Guide on Tableau Public | Venkat Reddy AI Classes

Tableau Video1 | Introduction, Installation, and Quick Demo | Venkat Reddy AI Classes

Tableau Video1 | Introduction, Installation, and Quick Demo | Venkat Reddy AI Classes

Power BI Video9 | Creating a Sales Analysis Dashboard | Venkat Reddy AI Classes

Power BI Video9 | Creating a Sales Analysis Dashboard | Venkat Reddy AI Classes

Power BI Video8 | Part 1 Mastering DAX Functions | Venkat Reddy AI Classes

Power BI Video8 | Part 1 Mastering DAX Functions | Venkat Reddy AI Classes