AdArya125 / Primer-to-Machine-LearningLinks
'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.
☆23Updated last year
Alternatives and similar repositories for Primer-to-Machine-Learning
Users that are interested in Primer-to-Machine-Learning are comparing it to the libraries listed below
Sorting:
- ☆10Updated last year
- Welcome to 6.86x Machine Learning with Python–From Linear Models to Deep Learning. Machine learning methods are commonly used across eng…☆13Updated 5 years ago
- I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…☆29Updated 5 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆25Updated 7 years ago
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Updated 3 years ago
- ☆21Updated 2 years ago
- Predicting for Customers, whether they will buy car insurance or not.☆10Updated 5 years ago
- The workshop is designed to foster an enabling environment for individuals to build competence in the Edge Computing space.☆14Updated 2 years ago
- Working examples of Deep Q Network of Reinforcement Learning☆13Updated 5 years ago
- My solutions for https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning☆33Updated 3 years ago
- Time series Forecasting of Wind speed based on different deep learning methods LSTM - GRU☆20Updated 4 years ago
- My implementation of a deep q learning network learning to play pong.☆10Updated 5 years ago
- Fully coded with Google Colab.☆27Updated 4 years ago
- Google Stock Price Prediction Using RNN - LSTM☆15Updated 6 years ago
- Python DQN for practicable portfolio management☆13Updated 5 years ago
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆11Updated 4 years ago
- Deep Learning Implementations☆17Updated 5 years ago
- Code for paper Stock trading rule discovery with double deep Q-network☆14Updated 2 years ago
- Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effecti…☆12Updated 6 years ago
- Predicting Walmart's Quarterly Earnings - Pytorch LSTM Example☆10Updated 4 years ago
- Sample code for using LSTMs to predict stock price movements☆25Updated 2 years ago
- 💳 Creates a new gym environment for credit-card anomaly detection using Deep Q-Networks (DQN) and leverages Open AI's Gym toolkit to all…☆19Updated 5 years ago
- CNN with LSTM to predict next frame☆16Updated 6 years ago
- Coursera-Fundamentals of Reinforcement Learning Specialization.☆15Updated last year
- ☆16Updated 4 years ago
- Python implementation of machine learning and Ai algorithms from scratch☆10Updated 11 months ago
- Reinforcement Learning for Optimal inventory policy☆34Updated 4 years ago
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Updated 3 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆11Updated 2 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆38Updated 6 years ago