Deepak Rai's repositories
Learning_Python
This repository will hold the basic tutorials on Python Programming
Advanced-Statistical-Methods
My learning about various Statistical Learning methods and it's implementation using R or Python.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
Sampling-Distribution
Explaining the sample distribution of sample mean.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
Credit_Risk_Analysis
In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as Rando
cs-video-courses
List of Computer Science courses with video lectures.
data-pipelines-with-apache-airflow
Code for Data Pipelines with Apache Airflow
Employee_Absenteeism
The task is to build a machine learning regression model will predict the number of absent hours.
fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
github-profile-summary-cards
A tool to generate your github summary card for profile README
Hands-On-Data-Preprocessing-in-Python
Hands-On Data Preprocessing in Python, published by Packt
HCDS-Bechdel-Test-Final-Project
CDAD-UH - 1044Q Human-centered Data Science | Fall 2021 | Final Project
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
LinAlg4DataScience
Code that accompanies the book "Linear Algebra for Data Science"
manim
Animation engine for explanatory math videos
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
mlbook
Repository for the free online book Machine Learning from Scratch (link below!)
mlops-zoomcamp
Free MLOps course from DataTalks.Club
numerical-tours
Numerical Tours of Signal Processing
Python
All Algorithms implemented in Python
ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
WeightWatcher
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks