BoolTest - polynomial randomness tester

Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms

To compute and plot significances (pvalues and asterisks) on bar graphs

EDA - Pre processing | Feature Engineering

Tutorials for BSE classes.

In this project, statistical analysis approach is employed to decide what hypothesis to be rejected. Scipy Stat library is used to find the pvalue that will determine if Hypothesis Null should or should not be rejected.

Analyzing impact of the coating on golf ball

Population_Pyramid_France_2017

A Python tool for the analysis of biological pathways with machine learning techniques

To build a multiple linear regression model for the prediction of demand for shared bikes.

Regression Analysis with the BikeShare data.

Analysing the results of an A/B test run for an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Used libraries and functions as follows:

Now, this repository contains the links of the videos that I have recorded for the training of this software. Also, the files have been placed in order to familiarize Statistics enthusiasts with some of the statistical concepts used in this software.