MAIN GOAL

1. It is about exploring the world of data science and its concept.

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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