50-days-of-Statistics-for-Data-Science

This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Sr No	Notebook Topic	Colab
1	Elements of Structured Data
2	Rectangular Data
3	Estimates of Location
4	Estimates of Variability
5	Exploring the Data Distribution
6	Exploring Binary and Categorical Data
7	Correlation
8	Exploring Two or More Variables
9	Random Sampling and Sample Bias
10	Selection Bias
11	Sampling Distribution of a Statistic
12	The Bootstrap
13	Confidence Intervals
14	Normal Distribution
15	Long-Tailed Distributions
16	Student’s t-Distribution
17	Binomial Distribution
18	Chi-Square Distribution
19	F-Distribution
20	Poisson and Related Distributions
21	A/B Testing
22	Hypothesis Tests
23	Resampling
24	Statistical Significance and p-Values
25	t-Tests
26	Multiple Testing
27	Degrees of Freedom
28	ANOVA
29	Chi-Square Test
30	Multi-Arm Bandit Algorithm
31	Power and Sample Size
32	Simple Linear Regression
33	Multiple Linear Regression
34	Prediction Using Regression
35	Factor Variables in Regression
36	Interpreting the Regression Equation
37	Regression Diagnostics
38	Polynomial and Spline Regression
39	Naïve Bayes
40	Discriminant Analysis
41	Logistic Regression
42	Evaluating Classification Models
43	Strategies for Imbalanced Data
44	K-Nearest Neighbors
45	Tree Models
46	Bagging and the Random Forest
47	Boosting
48	Principal Components Analysis
49	K-Means Clustering
50	Hierarchical Clustering
51	Model-Based Clustering
52	Scaling and Categorical Variables