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Stats-Maths-with-Python

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General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

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- Deep_Distributions_Ver_1.ipynb
- Readme.md
- bayes-1.png
- boards.png
- bond_martini.PNG
- burger-sword.jpg
- coin_toss.PNG
- Conf_interval.png
- dice.PNG
- Drug-Screening.png
- drug_trial.jpg
- food-for-thought.png
- Frustrated-at-stat.png
- Hypothesis_test.jpg
- iq.png
- linreg.png
- manufacturing-drift-detection-header.png
- normal.PNG
- percentile.png
- pie-pi.jpg
- quantile.png
- Readme.md
- Simulation-problems-DS.png
- SVD_Netflix.PNG
- t_dist_538.PNG
- trump-t-dist.PNG
- uniform_dist.PNG
- foo.txt
- venn-1.png
- CHAPTER 1 - Set algebra, discrete math, and numbers.ipynb
- CHAPTER 2 - Functions, equations, plots, and limit.ipynb
- CHAPTER 3 - Calculus and optimization for machine learning.ipynb
- Readme.md
- Shirt_manufacturing_optimization_using_PuLP.ipynb
- Magnimind_Workshop_Jan10_2020.pdf
- Readme.md
- Introduction to Hypothesis Testing.pdf
- Readme.md
- readme.md
- Week_2.pdf
- Week_3_Part_1.pdf
- Week_3_Part_2.pdf
- Week_4_Part_1.pdf
- Week_4_Part_2.pdf
- Week_5_Part_1.pdf
- Week_5_Part_2.pdf
- Week_6_Part_1.pdf
- Week_6_Part_2.pdf
- Week_6_Part_3.pdf
- Week_6_Part_4.pdf
.gitignore
_config.yml
Bayes_rule.ipynb
Brownian-motion-with-Python.ipynb
Central_tendency_dispersion_measures.ipynb
Comparing_means_ANOVA.ipynb
Computing_pi_throwing_dart.ipynb
Conf_inv_sampling_hypothesis.ipynb
Fitting-data-to-univariate-distributions-with-distfit.ipynb
Game_of_chance_simulation.ipynb
Generating-random-variables-from-scratch.ipynb
Intro_Hypothesis_Testing.ipynb
k-means_clustering_GMM.ipynb
LICENSE
Linear_Regression_Methods.ipynb
Logistic_Reg_sklearn_statsmodels.ipynb
Manufacturing-drift-Pandas.ipynb
Monte-Carlo-integration.ipynb
mpmath-1.ipynb
Permutations_and_Combinations.ipynb
Pomegranate.ipynb
Prob_distributions.ipynb
Prob_Distributions_Discrete.ipynb
Probability_concepts.ipynb
Q-Q plots.ipynb
R-style Functions.ipynb
R_Functions.py
README.md
Regression_Diagnostics.ipynb
Scipy-interpolate.ipynb
Set_Algebra_with_Python.ipynb
Stochastic-simulation-helps-you-grasp-concepts-of-statistics.ipynb

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# Statistics/ Mathematical Computing Notebooks
Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

### Please feel free to [connect with me on LinkedIn](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/) if you are interested in data science and like to connect.

----

### Requirements
* **Python 3.6+**
* **NumPy (`$ pip install numpy`)**
* **Pandas (`$ pip install pandas`)**
* **Scikit-learn (`$ pip install scikit-learn`)**
* **SciPy (`$ pip install scipy`)**
* **Statsmodels (`$ pip install statsmodels`)**
* **MatplotLib (`$ pip install matplotlib`)**
* **Seaborn (`$ pip install seaborn`)**

---
### [Set Algebra basics](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Set_Algebra_with_Python.ipynb)
![set](http://www.efgh.com/math/algebra/venn.gif)
### [Permutations and Combinations](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Permutations_and_Combinations.ipynb)
![permutation and combination](http://slideplayer.com/slide/6113299/18/images/1/Permutation+and+Combination.jpg)
### [Probability distributions (Discrete)](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Prob_Distributions_Discrete.ipynb)
![binom](https://www.maplesoft.com/support/help/content/1898/image50.png)
### [Linear Regression Methods](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Linear_Regression_Methods.ipynb)
![lm](http://rasbt.github.io/mlxtend/user_guide/regressor/LinearRegression_files/simple_regression.png)
### [_R-style_ Statistical functions written using Python](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/R-style%20Functions.ipynb)
![rstyle](https://cdn-images-1.medium.com/max/1200/1*FqR5zGQYic_pNRyakzj_Cw.png)
### [Diagnostics of a linear regression problem](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Regression_Diagnostics.ipynb)

### [Introduction to hypothesis testing](https://github.com/tirthajyoti/Stats-Maths-with-Python/blob/master/Intro_Hypothesis_Testing.ipynb)

## Articles
Check out this article I wrote on Medium: ___[Essential Math for Data Science.](https://towardsdatascience.com/essential-math-for-data-science-why-and-how-e88271367fbd)___

Check out this article I wrote on Medium about ___["How to write your favorite R functions — in Python?"](https://towardsdatascience.com/how-to-write-your-favorite-r-functions-in-python-11e1e9c29089)___

Check out this article I wrote on Medium about ___["Mathematical programming — a key habit to build up for advancing in data science?"](https://towardsdatascience.com/mathematical-programming-a-key-habit-to-built-up-for-advancing-in-data-science-c6d5c29533be)___

Check out this article I wrote on Medium about ___["Bayes’ rule with a simple and practical example"](https://towardsdatascience.com/bayes-rule-with-a-simple-and-practical-example-2bce3d0f4ad0)___

Check out this article I wrote on Medium about ___["Statistical modeling with “Pomegranate” — fast and intuitive"](https://towardsdatascience.com/statistical-modeling-with-pomegranate-fast-and-intuitive-4d605d9c33a9)___