Канал: Roy Jafari

Data Solution Life Cycle (DSLC) | Case Study Employee Churn Prediction

Data Solution Life Cycle (DSLC) | Case Study Employee Churn Prediction

p_value: Learn how to interpret it once and for all

p_value: Learn how to interpret it once and for all

The interaction between Business Understanding & Data Understanding in CRISP-DM | With a Case Study

The interaction between Business Understanding & Data Understanding in CRISP-DM | With a Case Study

String vs. Category - Choosing the right data type to optimize data processing code

String vs. Category - Choosing the right data type to optimize data processing code

Recursive function or iterations? What is recursion?

Recursive function or iterations? What is recursion?

What is data science? (Short comedy)

What is data science? (Short comedy)

Why maping a function is better than iterations (loops) for data processing?

Why maping a function is better than iterations (loops) for data processing?

Data Integration Example 3 - Data Redundancy

Data Integration Example 3 - Data Redundancy

Dijkstra's Algorithm - Visual explanation of how the algorithm solves the shortest path problem

Dijkstra's Algorithm - Visual explanation of how the algorithm solves the shortest path problem

Data Integration Example 2 - Aggregation Mismatch

Data Integration Example 2 - Aggregation Mismatch

Data Understanding stage of CRISP-DM with a case study

Data Understanding stage of CRISP-DM with a case study

Data Integration Example 1 - Entity Identification Challenge

Data Integration Example 1 - Entity Identification Challenge

Business Understanding of CRISP-DM - Case Study: Credit Card Fraud Detection

Business Understanding of CRISP-DM - Case Study: Credit Card Fraud Detection

Data Cleaning Example 7 - Detecting, Diagnosing, and Dealing with Outliers

Data Cleaning Example 7 - Detecting, Diagnosing, and Dealing with Outliers

What is CRISP DM? CRoss-Industry Standard Process for Data Mining

What is CRISP DM? CRoss-Industry Standard Process for Data Mining

Data Cleaning Example 6 - Detecting, Diagnosing, and Dealing with Outliers

Data Cleaning Example 6 - Detecting, Diagnosing, and Dealing with Outliers

What is big data & strategies to deal with it

What is big data & strategies to deal with it

Data Cleaning Example 5 - Detecting, Diagnosing, and Dealing with missing values

Data Cleaning Example 5 - Detecting, Diagnosing, and Dealing with missing values

Data - What is it really?

Data - What is it really?

Data Cleaning Example - Detecting, Diagnosing and Dealing with missing values

Data Cleaning Example - Detecting, Diagnosing and Dealing with missing values

Pandas DataFrame MultiLevel Index and Column | Optimize Data Processing

Pandas DataFrame MultiLevel Index and Column | Optimize Data Processing

Data Cleaning Example 3 - Detect and Deal with Errors

Data Cleaning Example 3 - Detect and Deal with Errors

Deep Learning Prediction via Keras and Tensorflow

Deep Learning Prediction via Keras and Tensorflow

Data Cleaning Example - Unwise Data Collection

Data Cleaning Example - Unwise Data Collection

Model vs Solver | Model and solve a linear classification problem

Model vs Solver | Model and solve a linear classification problem

Access Databases using a Curated API

Access Databases using a Curated API

Connecting to SQL Database using Python

Connecting to SQL Database using Python

Gradient Descent with an Example

Gradient Descent with an Example

More SQL exercise and practices | Larger Database

More SQL exercise and practices | Larger Database

Code optimization with Pandas Merge function

Code optimization with Pandas Merge function

Three Reasons to Read my book Hands-On Data Preprocessing in Python

Three Reasons to Read my book Hands-On Data Preprocessing in Python

Learn how to write SQL Queries | SMALL DATABASE

Learn how to write SQL Queries | SMALL DATABASE

The datatype: DateTime | Optimize your code with the right datatype

The datatype: DateTime | Optimize your code with the right datatype

Nosie vs. Bias | Ethical perspectives

Nosie vs. Bias | Ethical perspectives

Code Optimization - Data Types

Code Optimization - Data Types

Supervised Models - Ethical Perspectives

Supervised Models - Ethical Perspectives

Code Optimization - Loop vs. pandas apply() vs Vectorization & Broadcasting

Code Optimization - Loop vs. pandas apply() vs Vectorization & Broadcasting

Ethical Perspectives for Clustering models

Ethical Perspectives for Clustering models

Up your data preprocessing game using Numpy .reshape() function.

Up your data preprocessing game using Numpy .reshape() function.

Ordinal Measurements | Ethical Perspectives

Ordinal Measurements | Ethical Perspectives

Generate a random movie using numpy.random

Generate a random movie using numpy.random

Numbers as a model | Ethical perspectives

Numbers as a model | Ethical perspectives

Lambda functions in Python

Lambda functions in Python

Nominal Measurement - Ethical perspectives

Nominal Measurement - Ethical perspectives

NumPy Array vs Python List

NumPy Array vs Python List

What is modeling: Ethical perspectives

What is modeling: Ethical perspectives

Intro to NumPy - A Python Module

Intro to NumPy - A Python Module

Defining and using Functions in Python

Defining and using Functions in Python

numpy tile function | np.tile() with practical example

numpy tile function | np.tile() with practical example

Dictionaries in Python

Dictionaries in Python

Lists in Python

Lists in Python

Learn the most import programing Data Structures for data analytics

Learn the most import programing Data Structures for data analytics

Errors in Python

Errors in Python

Data Transformation: Smoothing, Aggregation and Binning

Data Transformation: Smoothing, Aggregation and Binning

while and for Loops in Python

while and for Loops in Python

Log Transformation

Log Transformation

Feature Extraction

Feature Extraction

Boolean Logic & Conditionals in Python

Boolean Logic & Conditionals in Python

Attribute Construction

Attribute Construction

Binary Coding, Ranking Transformation & Discretization

Binary Coding, Ranking Transformation & Discretization

Defining Variables in Python

Defining Variables in Python

Intro to Jupyter Notebook

Intro to Jupyter Notebook

Normalization and Standardization | How and when to use? Differences and similarities

Normalization and Standardization | How and when to use? Differences and similarities

Data Transformation vs Data Massaging

Data Transformation vs Data Massaging

Prescriptive Prediction

Prescriptive Prediction

Predictive Vs Prescriptive Models

Predictive Vs Prescriptive Models

Recognizing a few Common Assumptions in Data Mining Models

Recognizing a few Common Assumptions in Data Mining Models

8 Ethical pitfalls of data driven decision making

8 Ethical pitfalls of data driven decision making

Supervised vs. Unsupervised Learning

Supervised vs. Unsupervised Learning

Using Multilayer Perceptron (MLP) for Classification

Using Multilayer Perceptron (MLP) for Classification

A high-level and intuitive explanation of Multilayer Perceptron (MLP) an Artificial Neural Network

A high-level and intuitive explanation of Multilayer Perceptron (MLP) an Artificial Neural Network

Evaluating the goodness of Clustering Outputs

Evaluating the goodness of Clustering Outputs

Clustrability | A dataset clustering tendency

Clustrability | A dataset clustering tendency

Compare multiple clustering outcomes on the same dataset

Compare multiple clustering outcomes on the same dataset

K-means Clustering in R

K-means Clustering in R

K-means Clustering Algorithm

K-means Clustering Algorithm

Hierarchical Clustering C in R

Hierarchical Clustering C in R

Hierarchical Clustering

Hierarchical Clustering

How Regression Trees are different than Decision Trees?

How Regression Trees are different than Decision Trees?

Creating a Classification Decision Trees in R

Creating a Classification Decision Trees in R

Decision Tress Overfitting & Pruning

Decision Tress Overfitting & Pruning

Introduction to Decision Trees

Introduction to Decision Trees

Naive Bayes Method | How to do it in R?

Naive Bayes Method | How to do it in R?

K-Nearest Neighbors (KNN) | What is it? How to do it in R?

K-Nearest Neighbors (KNN) | What is it? How to do it in R?

Evaluation of Binary Classification | ROC Curve, Area Under the Curve (AUC), F-Score

Evaluation of Binary Classification | ROC Curve, Area Under the Curve (AUC), F-Score

A Paradigm Shift: From Statistical Soundness toward computationally measuring usefulness

A Paradigm Shift: From Statistical Soundness toward computationally measuring usefulness

What is Logistic Regression? With example in R.

What is Logistic Regression? With example in R.

Regression Validation using R

Regression Validation using R

Regression

Regression

Functional Data Analysis (FDA) as a Dimension Reduction Technique

Functional Data Analysis (FDA) as a Dimension Reduction Technique

Principal Component Analysis (PCA) | Unsupervised Dimension Reduction

Principal Component Analysis (PCA) | Unsupervised Dimension Reduction

Supervised Dimension Reduction | Random Forest | Brute-force Computational Dimension Reduction

Supervised Dimension Reduction | Random Forest | Brute-force Computational Dimension Reduction

Supervised Dimension Reduction

Supervised Dimension Reduction

Numerosity Data Reduction | Random Sampling | Stratified Sampling | Over/Under Sampling

Numerosity Data Reduction | Random Sampling | Stratified Sampling | Over/Under Sampling

Data Reduction

Data Reduction

The concept of Clustering

The concept of Clustering

The concept of Classification in Data Mining

The concept of Classification in Data Mining

Pandas Groupby Function

Pandas Groupby Function

Prediction VS. Forecasting

Prediction VS. Forecasting

Pandas Apply Function

Pandas Apply Function

The concept of prediction in the context of Data Mining

The concept of prediction in the context of Data Mining

Level 1 Data Cleaning Example

Level 1 Data Cleaning Example

Clustering Analysis using K-Means

Clustering Analysis using K-Means

Feature Extraction for effective Clustering Analysis

Feature Extraction for effective Clustering Analysis

Classification using MLP - sklearn module

Classification using MLP - sklearn module

Decision Tree Regressor (Prediction) using Python sklearn

Decision Tree Regressor (Prediction) using Python sklearn

Decision Tree Classification using Python sklearn

Decision Tree Classification using Python sklearn

Naïve Bayesian Classification Algorithm

Naïve Bayesian Classification Algorithm

k Nearest Neighbors (KNN) Classification Algorithm

k Nearest Neighbors (KNN) Classification Algorithm

Prediction using Artificial Neural Network (MLP) - Predict Car Price

Prediction using Artificial Neural Network (MLP) - Predict Car Price

What is random_state? Python Machine Learning algorithms all have it

What is random_state? Python Machine Learning algorithms all have it

Podcast: A conversation about the documentary Persona with Javad Seif and Mukhunth Raghavan

Podcast: A conversation about the documentary Persona with Javad Seif and Mukhunth Raghavan

Prediction using Linear Regression - Predict Car Price

Prediction using Linear Regression - Predict Car Price

Get To Know ToyotaCorolla.csv

Get To Know ToyotaCorolla.csv

Dimension Reduction For Classification

Dimension Reduction For Classification

Mapping A Lambda Function to A DataFrame

Mapping A Lambda Function to A DataFrame

Introduction To Pandas

Introduction To Pandas

Data Preprocessing: Intro to Numpy

Data Preprocessing: Intro to Numpy

Dimension Reduction For Prediction

Dimension Reduction For Prediction

A Taste for Clustering Algorithms

A Taste for Clustering Algorithms

A Taste For Classification

A Taste For Classification

Free Online Data Analytics Course

Free Online Data Analytics Course

Get To Know a New Dataset Using Pandas/Python

Get To Know a New Dataset Using Pandas/Python

A Taste for Prediction: Predict Tomorrow's Amazon Stock Price

A Taste for Prediction: Predict Tomorrow's Amazon Stock Price

Dimension Reduction with Principal Component Analysis (PCA)

Dimension Reduction with Principal Component Analysis (PCA)

Dimension Reduction (Data Redundancy Analysis)

Dimension Reduction (Data Redundancy Analysis)

Integrate to Enrich Visual

Integrate to Enrich Visual

Visualize to recognize pattern

Visualize to recognize pattern

Data Preprocessing Example: Detection and Dealing with Outliers

Data Preprocessing Example: Detection and Dealing with Outliers

Data preprocessing example: dealing with missing values

Data preprocessing example: dealing with missing values

Data Pre-processing Example using Pandas

Data Pre-processing Example using Pandas

Bar charts (Pandas & Matplotlib): Portray relationships between categorical attributes

Bar charts (Pandas & Matplotlib): Portray relationships between categorical attributes

Pandas DaraFrame Multi level columns and index

Pandas DaraFrame Multi level columns and index

Get to Know Whickham dataset

Get to Know Whickham dataset

Histogram (Matplotlip and Pandas) to Summarize and compare populations

Histogram (Matplotlip and Pandas) to Summarize and compare populations

Box plot by pandas and matplotlib

Box plot by pandas and matplotlib

5D Scatter Plot using Python

5D Scatter Plot using Python

4D Scatter Plot

4D Scatter Plot

Get to know GapMinder Dataset

Get to know GapMinder Dataset

Pandas Pivot Table with example using Billboard data

Pandas Pivot Table with example using Billboard data

Pandas Melt function with billboard dataset example

Pandas Melt function with billboard dataset example

Get to know the Billboard dataset using Pandas and Matplotlib

Get to know the Billboard dataset using Pandas and Matplotlib

Matplotlib subplots

Matplotlib subplots

Matplotlib Designing the visuals line color and style

Matplotlib Designing the visuals line color and style

Matplotlib Intro

Matplotlib Intro

Pandas Groupby with examples

Pandas Groupby with examples

Pandas Loop or Apply

Pandas Loop or Apply

Pandas Data Cleaning Example

Pandas Data Cleaning Example

Intro to Pandas Challenge #4

Intro to Pandas Challenge #4

Intro to Pandas Challenge #3

Intro to Pandas Challenge #3

Intro to Pandas Challenge #2

Intro to Pandas Challenge #2

Intro to Pandas Challenge 1 with guide and solution

Intro to Pandas Challenge 1 with guide and solution

Pandas with example datasets (Adult.csv)

Pandas with example datasets (Adult.csv)

Intro To Pandas

Intro To Pandas

Solution to Challenges Intro to NumPy

Solution to Challenges Intro to NumPy

Challenges for Numpy Intro Random numbers, Sorting and Boolean Masking

Challenges for Numpy Intro Random numbers, Sorting and Boolean Masking

NumPy - Randomization, Sorting and Boolean Masking

NumPy - Randomization, Sorting and Boolean Masking

Intro to NumPy

Intro to NumPy

Solution To Challenges Of Functions In Python

Solution To Challenges Of Functions In Python

Python Lambda Function

Python Lambda Function

Functions in Python + Mapping a function

Functions in Python + Mapping a function

Solutions for Python Basics Challenges

Solutions for Python Basics Challenges

Challenge Questions For Python Basics

Challenge Questions For Python Basics

Python Basics for Data Analytics - Loops and Conditionals

Python Basics for Data Analytics - Loops and Conditionals

Python Basics for Data Analytic - Data Variables

Python Basics for Data Analytic - Data Variables

Break-even Point Analysis - Engineering Economy

Break-even Point Analysis - Engineering Economy