Tirthajyoti Sarkar

Machine-Learning-with-Python. Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Data-science-best-resources. Carefully curated resource links for data science in one place

Papers-Literature-ML-DL-RL-AI. Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Stats-Maths-with-Python. General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Deep-learning-with-Python. Deep learning codes and projects using Python

Spark-with-Python. Fundamentals of Spark with Python (using PySpark), code examples

pydbgen. Random dataframe and database table generator

Design-of-experiment-Python. Design-of-experiment (DOE) generator for science, engineering, and statistics

Web-Database-Analytics. Web scrapping and related analytics using Python tools

UCI-ML-API. Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Optimization-Python. General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

DS-with-PySimpleGUI. Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

doepy. Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

Interactive_Machine_Learning. IPython widgets, interactive plots, interactive machine learning

Synthetic-data-gen. Various methods for generating synthetic data for data science and ML

PyTorch_Machine_Learning. Machine learning, Deep Learning, CNN with PyTorch

Finance-with-Python. Financial data analytics with Python

Covid-19-analysis. Analysis with Covid-19 data

Julia-data-science. Data science and numerical computing with Julia

Digital-Twin. Digital twin with Python

R-stats-machine-learning. Misc Statistics and Machine Learning codes in R

Algorithm-Data-Structures-Python. Various useful data structures in Python

Scikit-image-processing. Image processing examples with Numpy, Scipy, and Scikit-image

TensorFlow_Basics. Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course using Google Colab platform.

mlr. Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Packt-Data_Wrangling. Code repo for Packt course I developed, "Beginning Data Wrangling with Python"

PyScript-examples. Examples of web pages developed with PyScript framework

ML-apps-with-Streamlit. Building simple ML apps with Streamlit

tirthajyoti.github.io. Tirthajyoti's Home Page about machine learning, statistics, analytics

Symbolic-computation-Python. Symbolic computation using SymPy and various applications

Algorithm_Maths_Python. General math scripts and important algorithms' implementation in Python 3

RL_basics. Basic Reinforcement Learning algorithms

GradDescent. MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

Dask-analytics-ML. Data science and ML with Dask

Scikit-image-book. Scikit-image-book-built-with-Jupyter-book

Convolutional-Networks. Various conv nets using TensorFlow, Keras, or other tools

Magnimind-Stats-Bootcamp-Jan-2020. Magnimind Bootcamp Stats for Data Science

PyWebIO. Web apps generated by pure Python script using PyWebIO

Stats_data_science_ValleyML. Notebooks for the ValleyML Bootcamp (Aug 2019) "Statistical methods for data science"

Randomized_Optimization. Randomized optimization techniques for NN and other problems

HyperparameterLearningTF. Learning the impact of Hyperparameters in a deep learning model

D3.js-examples. Simple D3.js code examples

tirthajyoti.

DeepNetworksR. Multi-layer neural networks code examples in R

MNIST_digit_recognition. MNIST hand-written digit recognition by fully-connected and convolutional neural networks - boiler plate code for easy reproduction and tutorial purpose.

Random_Function_Generator. Random function generator, with generation by symbolic input

pandoc_resume. The Markdown Resume

Stanford-SCI-52. Jupyter Notebook

mldsutils. My own ml and ds utils package

Gradio-apps. Python web apps built with Gradio

FunnyWordGen. Funny word (random) generator using Python 3

ghPage-test. test for gh pages

aima-python. Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

CSE-6242. GaTech CSE 6242 homework

Saturn-cloud. Write-ups for Saturn-cloud