`MAIN GOAL`

`INDEX`

S.No.	Description
`1`	Anscombe's quartet
`2`	Titanic dataset
`3`	Wine Basic Analyse
`4`	Bike Sharing basic Analyse
`5`	Bike Sharing Demand Prediction Using Regression Trees
`6`	Kaggle user Analyse
`7`	anime and move genre Analyse
`8`	Predict the onset of diabetes based on diagnostic measures
`9`	EDA of marijuana (cannabis) Drug
`10`	Boxplot
`11`	Scatter Plot
`12`	Probability (Uniform and Normal) Distribution Part-1
`13`	Probability (Bernoulli and Binomial Distribution) Distribution Part-2
`14`	Probability (Poisson and Beta Distribution) Distribution Part-3
`15`	Probability (Gamma,Log Normal and Negative Binomial Distribution) Distribution Part-4
`16`	Time Series Analysis P-1
`17`	Time Series Analysis P-2
`18`	Bayes' Theorem
`19`	Chi-squared test
`20`	natural language processing part-1
`21`	House Sales Prediction
`22`	Statistical Data Modeling
`23`	K-Means and Hierarchical Clustering
`24`	Basic Statistics
`25`	EDA avocados
`26`	Hierarchical Clustering
`27`	basic pandas and numpy
`28`	Visualize a Deep Learning Neural Network Model in Keras
`29`	Pandas Tips and Tricks
`30`	30 seconds of python
`31`	Dive into Deep Learning
`32`	PyTorch Tutorial for Deep Learning Researchers
`33`	Fastai Course
`34`	d2l-pytorch