Machine-Learning-Bootcamp

Join me at www.dakshtrehan.com | www.linkedin.com/in/dakshtrehan/ | www.medium.com/@dakshtrehan

Motivation

Machine Learning is the most transformative technology of our time. Whether it’s helping us discover new drugs for major diseases, fighting fraud, generating music, improving supply chain efficiency, the list of applications is truly endless. For us as a community to be able to make valuable contributions to the world, we need to master this technology. This is a call to action, a battle cry, a spark that will light a movement to radically improve the state of humanity.
This repository was created with a ray of hope and a call of passion, the target audience is neophytes and curious users in the realm of Artificial Intelligence & Machine Learning. The repo includes all the resources I wrote, gathered and, practiced during my beginner's period.
You can also find my articles on my medium profile with 100+ followers and 25k+ traffic over all my articles.

For any feedback or suggestion you can contact me at: [email protected] | www.dakshtrehan.com

Articles

Checkout the handpicked curated list: https://dakshtrehan.medium.com/list/machine-learning-from-scratch-e413c437fe7a

Day 1 : What Exactly Machine Learning is?

Day 2 : Who uses Machine Learning and Why?

Day 3 : Serving Data Science to a Rookie

Day 4 : Relating Machine Learning Techniques to Real-Life

Day 5 : Determining Perfect fit for your ML Model

Day 6 : Linear Regression Explained

Day 7 : Logistic Regression Explained

Day 8 : Gradient Descent Explained

Day 9 : Parameter Optimization Explained

Day 10: Activation Functions Explained

Day 11: Naive Bayes Explained

Day 12: Start-off your ML jouney with K-nearest neighbors!

Day 13: Clustering: What is it and when to use it?

Day 14: Supporting the Math behind Support Vector Machine

Day 15: Why Choose Random Forest and not Decision Trees

Day 16: Diving Deep into Deep Learning

Day 17: Convolution Neural Networks for Dummies

Day 18: Recurrent Neural Networks for Dummies

Day 19: Understanding LSTM's and GRU's

Day 20: Decoding Science behind Generative Adversarial Networks

Day 21: Reinforcing the science behind Reinforcement Learning

Use-Cases

- The inescapable AI algorithm: TikTok

- Tinder+AI: A perfect Matchmaking?

- Detecting COVID-19 using Deep Learning

- An Insider’s guide to Cartoonization using Machine Learning

- Why are YOU responsible for George Floyd’s murder & Delhi Communal Riots!!

Case Studies

- KNN

- Linear Regression

- Logistic Regression

- Locally Weighted Regression

- Naive Bayes

- K-Means

- Hierarchical Clustering

- Support Vector Machine

- XGBoost

- Multilevel Perceptron

- ANN

- CNN

- RNN

- LSTM

- Encoder-Decoder Model

Kindly ⭐ the repo, if you found it useful.

Feel free to 🍴 and contribute more towards the community.

Resources gathered with ❤ by Daksh Trehan.