100-days-of-ml-code

100 Days of ML Coding

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

ai-pacman-projects

Implemented various AI algorithms in Pac-Man projects developed by UC Berkeley. Implemented informed/blind state-space search using search algorithms like BFS, DFS, UCS and A* algorithm with heuristic calculation. Designed an algorithm for reflex agent, minimax and alpha-beta pruning. Reinforcement Learning using MDP (Value Iteration and Policy Evaluation) - Implemented Markov Decision process using Value iteration in the Pacman World. Designed perceptron classifier for data classification. Developed applications using python. http://ai.berkeley.edu/project_overview.html

ai_all_resources

A curated list of Best Artificial Intelligence Resources

ai_pose_estimator

Goal: Real-time sign language detection using sequences

ai_snake_game

Train an AI agent to play snake game

aifh

Artificial Intelligence for Humans

amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

animal_disease_classification

anroidappsanalysis

Providing insights to help the android developers understand the current state of the app so that they can make business decisions to improve the app and capture the Android market

awesome-data-podcasts

A list of awesome data podcasts

awesome-mlops

A curated list of references for MLOps

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-rl

Reinforcement learning resources curated

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

bestpraticesinpandas

Pandas Tutorial for beginners

blogsummarizer

boston_house_pricing

breast_cancer_prediction_app

Machine Learning App to Predict Breast Cancer

cmpe_257_ml

Prof. Shim's course

coding-interview-university

A complete computer science study plan to become a software engineer.

complete-feature-engineering

course-content-dl

cs234-reinforcement-learning-winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

cs570

Code for CS570, Essentials of Data Science

customer_churn_analysis

Customer churn prediction for telecom dataset

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datascientistrecipe

Skills needed to start off your journey as a Data Scientist

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

deep-learning-ann