100 Days of Machine and Deep Learning Code

Last update: Nov 02, 2022

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Machine Learning 100daysofmlcode

Overview

💯 Days of Machine Learning and Deep Learning Code

MACHINE LEARNING TOPICS COVERED - FROM SCRATCH

Linear Regression
Logistic Regression
K Means Clustering
K Nearest Neighbours
Naive Bayes
Support Vector Machine [TODO]

DEEP LEARNING TOPICS COVERED - FROM SCRATCH

Neural Networks

TENSORFLOW/KERAS and PYTORCH [COMING SOON]

Owner

Tanishq Gautam

Don’t be intimidated by jargon.

GitHub Repository

This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch

This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch. It uses a simple TestEnvironment to test the algorithm

59 Dec 09, 2022

Ml based project which uses regression technique to predict the price.

Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with

1 Jul 09, 2022

MLOps pipeline project using Amazon SageMaker Pipelines

This project shows steps to build an end to end MLOps architecture that covers data prep, model training, realtime and batch inference, build model registry, track lineage of artifacts and model drif

3 Sep 16, 2022

flexible time-series processing & feature extraction

A corona statistics and information telegram bot.

206 Dec 28, 2022

Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics

4.1k Dec 29, 2022

💀mummify: a version control tool for machine learning

mummify is a version control tool for machine learning. It's simple, fast, and designed for model prototyping.

43 Jul 09, 2022

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

84 Nov 25, 2022

List of Data Science Cheatsheets to rule the world

Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat

11.7k Dec 30, 2022

A comprehensive repository containing 30+ notebooks on learning machine learning!

3.8k Jan 09, 2023

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

2 Jan 18, 2022

A Powerful Serverless Analysis Toolkit That Takes Trial And Error Out of Machine Learning Projects

KXY: A Seemless API to 10x The Productivity of Machine Learning Engineers Documentation https://www.kxy.ai/reference/ Installation From PyPi: pip inst

35 Jan 02, 2023

Exemplary lightweight and ready-to-deploy machine learning project

6 Dec 20, 2022

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code

1.6k Jan 05, 2023