Канал: Vishal Goundar

Plot Pie chart, squarify plot and bar chart of proportions at the start and later stage of covid

Plot Pie chart, squarify plot and bar chart of proportions at the start and later stage of covid

Down time series covid data and explore

Down time series covid data and explore

Investigate the time used to run the function and memory used using profmem and profvis

Investigate the time used to run the function and memory used using profmem and profvis

Interactive boxplots and scatterplots in R

Interactive boxplots and scatterplots in R

Download JSON data file, load the file into R using jsonlite and analyze

Download JSON data file, load the file into R using jsonlite and analyze

shell commands to copy columns, print first few lines and sort by the selected column

shell commands to copy columns, print first few lines and sort by the selected column

Calculate the total loss of revenue during COVID for the public transport network

Calculate the total loss of revenue during COVID for the public transport network

Forecast using the best Auto Regressive Integrated Moving Average (ARIMA) algorithm model

Forecast using the best Auto Regressive Integrated Moving Average (ARIMA) algorithm model

Add the monthly seasonality pattern to the predicted trend growth

Add the monthly seasonality pattern to the predicted trend growth

Find the best Auto Regressive Integrated Moving Average (ARIMA) algorithm model to forecast

Find the best Auto Regressive Integrated Moving Average (ARIMA) algorithm model to forecast

Find the missing values using seasonal mean method

Find the missing values using seasonal mean method

Fill the missing values using KNN mean method

Fill the missing values using KNN mean method

Find the missing values using interpolation linear method and interpolation cubic method

Find the missing values using interpolation linear method and interpolation cubic method

Fill the missing values using forward fill and backward fill methods

Fill the missing values using forward fill and backward fill methods

Plot time-series data for available data and missing data

Plot time-series data for available data and missing data

Check the stationarity using adfuller and kpss in statsmodels

Check the stationarity using adfuller and kpss in statsmodels

Show that the decomposed observed values = sum of values from trend, seasonal, residuals

Show that the decomposed observed values = sum of values from trend, seasonal, residuals

Trend, seasonal, residual patterns in time-series data

Trend, seasonal, residual patterns in time-series data

Explore time-series data using line plot and box plot

Explore time-series data using line plot and box plot

Prepare the data collected by public transport network in Auckland

Prepare the data collected by public transport network in Auckland

Time-Series Analysis in Smart Infrastructure Analytics

Time-Series Analysis in Smart Infrastructure Analytics

Demonstrate Gradient Boosting Method can overfit using 10-fold cross-validation

Demonstrate Gradient Boosting Method can overfit using 10-fold cross-validation

Construct Boosting model with 500 trees using "bernoulli" distribution on two class factor values

Construct Boosting model with 500 trees using "bernoulli" distribution on two class factor values

Create random forest model on square root of the number of all the predictors

Create random forest model on square root of the number of all the predictors

In the random forest bagging model, compare the out of bag error rate with the predicted error rate

In the random forest bagging model, compare the out of bag error rate with the predicted error rate

Construct classification tree with bagging model

Construct classification tree with bagging model

Prune the tree using cross validation by misclassification rate

Prune the tree using cross validation by misclassification rate

Prune the classification tree using best cost complexity

Prune the classification tree using best cost complexity

Fit classification tree models and calculate misclassification rate

Fit classification tree models and calculate misclassification rate

Feature engineering of biodegradable data

Feature engineering of biodegradable data

Explore biodegradable data

Explore biodegradable data

Plot root mean square error and the time taken for Linear, RandomForest and XGBRegressor models

Plot root mean square error and the time taken for Linear, RandomForest and XGBRegressor models

Search for the best parameters from RandomizedSearchCV and GridSearchCV and fit XGBRegressor model

Search for the best parameters from RandomizedSearchCV and GridSearchCV and fit XGBRegressor model

Perform RandomizedSearchCV and GridSearchCV to find best Random Forest Regressor model

Perform RandomizedSearchCV and GridSearchCV to find best Random Forest Regressor model

Find best parameters using RandomizedSearchCV then GridSearchCV and develop Linear Regression model

Find best parameters using RandomizedSearchCV then GridSearchCV and develop Linear Regression model

Perform the normalization of the dataset to provide a standardized input to the machine learning.

Perform the normalization of the dataset to provide a standardized input to the machine learning.

Feature engineering of creating new variables, and splitting data set into train set and test set

Feature engineering of creating new variables, and splitting data set into train set and test set

Identify all the missing values in the data, fill them using an imputer from sklearn

Identify all the missing values in the data, fill them using an imputer from sklearn

Visualize relationship of geospatial attributes (Longitude, Latitude) with the median house price

Visualize relationship of geospatial attributes (Longitude, Latitude) with the median house price

Plot histogram of each variable's to visualize their distributions

Plot histogram of each variable's to visualize their distributions

Visualize anomalies and/or outliers in the data distribution from interactive box plots

Visualize anomalies and/or outliers in the data distribution from interactive box plots

Heatmaps for both the complete linkage method and single linkage method.

Heatmaps for both the complete linkage method and single linkage method.

Dendrogram of the hierarchical clustering results using complete and the single linkage methods.

Dendrogram of the hierarchical clustering results using complete and the single linkage methods.

Dendrogram of the hierarchical clustering results using the complete and the single linkage method

Dendrogram of the hierarchical clustering results using the complete and the single linkage method

Find mixture-based clustering using varying variance subfamily of multivariate normal mixtures

Find mixture-based clustering using varying variance subfamily of multivariate normal mixtures

Adjusted Rand indices for clusters found by the K-means method

Adjusted Rand indices for clusters found by the K-means method

Density estimates in the varying variance subfamily of multivariate normal mixtures

Density estimates in the varying variance subfamily of multivariate normal mixtures

Find density estimate in the equal variance subfamily of multivariate normal mixture

Find density estimate in the equal variance subfamily of multivariate normal mixture

Univariate Density Estimation using best normal mixture fit

Univariate Density Estimation using best normal mixture fit

Univariate Density Estimation using Kernel Density Estimation

Univariate Density Estimation using Kernel Density Estimation

pairs plot in unsupervised learning in R

pairs plot in unsupervised learning in R

Data Visualization with sunburst chart and sankey graph

Data Visualization with sunburst chart and sankey graph

Interactive box plot and sunburst charts

Interactive box plot and sunburst charts

Showing relationship over the years using interactive plots

Showing relationship over the years using interactive plots

Animating the interactive data plots

Animating the interactive data plots

Interactive plots with plotly

Interactive plots with plotly

Showing multiple variables using bar chart and pie chart

Showing multiple variables using bar chart and pie chart

Scatterplot between 2 or more variables using scatter plot and bubble plot

Scatterplot between 2 or more variables using scatter plot and bubble plot

Showing distribution in the data using histogram and kernel density function

Showing distribution in the data using histogram and kernel density function

Using Popular visualization packages in Jupiter Notebook

Using Popular visualization packages in Jupiter Notebook

Write a SQL trigger definition in pgAdmin 4

Write a SQL trigger definition in pgAdmin 4

Query to find data violating the constraint in pgAdmin 4

Query to find data violating the constraint in pgAdmin 4

SQL query to generate the time schedule in pgAdmin 4

SQL query to generate the time schedule in pgAdmin 4

Retrieve timetable information in pgAdmin 4

Retrieve timetable information in pgAdmin 4

Retrieve the grade summary and sort by grade

Retrieve the grade summary and sort by grade

Retrieve the academic transcript of the students whose id starts with in pgAdmin 4

Retrieve the academic transcript of the students whose id starts with in pgAdmin 4

Use the join operation and aggregate function to define a query in pgAdmin 4

Use the join operation and aggregate function to define a query in pgAdmin 4

Use the natural join operation and aggregate functions pgAdmin 4 query

Use the natural join operation and aggregate functions pgAdmin 4 query

Use the nested query structure and the UNION operation in pgAdmin 4

Use the nested query structure and the UNION operation in pgAdmin 4

Use the join and left outer join to query in pgAdmin 4

Use the join and left outer join to query in pgAdmin 4

Natural join operation in pgAdmin 4

Natural join operation in pgAdmin 4

Nested query in Postgres pgAdmin 4

Nested query in Postgres pgAdmin 4

Postgresql pgAdmin 4, select queries

Postgresql pgAdmin 4, select queries

Postgresql pgAdmin 4, creating tables in database

Postgresql pgAdmin 4, creating tables in database

pgAdmin 4 commands in Postgres

pgAdmin 4 commands in Postgres

Database System Lab 3, find the scale of the file

Database System Lab 3, find the scale of the file

Database System Lab 2, find the size of the file.

Database System Lab 2, find the size of the file.

Database System - find the number of pointers

Database System - find the number of pointers

LDA and QDA

LDA and QDA

Characterize an expensive mobile phone using the multinomial regression.

Characterize an expensive mobile phone using the multinomial regression.

Find the two most important variables in predicting a mobile price for the best learning method

Find the two most important variables in predicting a mobile price for the best learning method

Model decision tree, random forest and gradient boosting method and find the best classifier

Model decision tree, random forest and gradient boosting method and find the best classifier

Reading the csv file

Reading the csv file

Calculate false negative ratio

Calculate false negative ratio

Calculate probability that a dissimilar pair with Jaccard value is a candidate pair

Calculate probability that a dissimilar pair with Jaccard value is a candidate pair

Calculate False candidate ratio

Calculate False candidate ratio

For each band computes the hash value for each document based on the r integers in the band

For each band computes the hash value for each document based on the r integers in the band

Mapping hash values

Mapping hash values

LSH candidate pair calculation

LSH candidate pair calculation

Approximate space usage for number of bands

Approximate space usage for number of bands

Tune the number of bands and the number of rows in each band to achieve false negatives

Tune the number of bands and the number of rows in each band to achieve false negatives

Measure the accuracy of MinHash estimators

Measure the accuracy of MinHash estimators

compute the MinHash signatures for all documents

compute the MinHash signatures for all documents

compute all pairs similarity with Jaccard

compute all pairs similarity with Jaccard

investigate MinHash and Locality sensitive Hashing LSH framework on real world data sets

investigate MinHash and Locality sensitive Hashing LSH framework on real world data sets

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults Data Analysis

Alpine Faults Data Analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults data analysis

Alpine Faults

Alpine Faults

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault

Alpine Fault 1

Alpine Fault 1

Spatial Analysis and Geocomputation 4

Spatial Analysis and Geocomputation 4

Spatial Analysis and Geocomputation 3

Spatial Analysis and Geocomputation 3

Make a population density map of the world

Make a population density map of the world

Spatial Analysis and Geocomputation data analysis part1

Spatial Analysis and Geocomputation data analysis part1

Draw Entity Relationship diagram using draw.io

Draw Entity Relationship diagram using draw.io

Draw Entity Relationship (ER) diagram using SmartDraw

Draw Entity Relationship (ER) diagram using SmartDraw

perform data analysis on traffic data

perform data analysis on traffic data

JASON API download from web using Python code

JASON API download from web using Python code

extract data from raw HTML web download

extract data from raw HTML web download

download and save csv file from webpage.

download and save csv file from webpage.

Import, tidy, model traffic data

Import, tidy, model traffic data

compare variance of Poisson and Negative Binomial models

compare variance of Poisson and Negative Binomial models

model indication

model indication

compare negative binomial and poisson models.

compare negative binomial and poisson models.

quasipoisson regression model

quasipoisson regression model

Poisson Regressor model

Poisson Regressor model

violin plot

violin plot

afghan pairplot

afghan pairplot

compare models.

compare models.

sludge regression

sludge regression

sludge table

sludge table

mosaic plot sludge categorical columns using Python

mosaic plot sludge categorical columns using Python

sludge category mapping using Python

sludge category mapping using Python

change data column class using Python

change data column class using Python

randomly select data using Python

randomly select data using Python