Imputation and Visualization of a dirty bank data with the help of NumPy, Pandas, Matplotlip and Seaborn libraries.

EDA and Capacity planning of Bluebike, Boston.

An international e-commerce company based in the USA wants to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers. The company sells electronic products.

Python EDA and Visualization Using , Matplotlib, Seaborn,Plotly and Bokeh. Map visualization using Folium

Project on analyzing some 911 call data from kaggle

EDA - Pre processing | Feature Engineering

This notebook will show you how to perform exploratory data analysis on the Big Mart Sales dataset

Visualizing categorical data with bar charts and pie charts

Hypothesis test practice

In this notebook, we will look at performing Exploratory Data Analysis on the Airbnb dataset available on Kaggle.

In this repository you will learn how to handle overfitting with the help of Lasso and Ridge Regression regularizations, also working mechanism of those while using useful charts.

Logistic regression is used to predict the Class of Y variable, using Logit and Sigmoid Function

Creating different visualizations using Airbnb listing in NYC for 2019

Live session poll done to conduct simple random sampling and hypothesis testing

Visualization

Data on Youtube trending videos , cleaning and EDA