Hello, after spending lot of time with Machine Learning techniques i have decided to write and record tutorials for people with interest in ML and Trading. We will focus on training ML Models on stock data. The first part will take approximately 2 Months, each week. The second part will take approximately 3 months.

Algotrading with Machine Learning is not something to learn in 1-2 weeks, 5-6 Videos or even as some youtubers claim in 10 minutes. It needs time and practice. I will provide necessary knowledge, papers, links, articles, practices and of course codes.


Part 1 as Python Programming & Algotrading
- Programming Basics - Variables and Conditions
- Learning how to code loops
- NumPy introduction
- Pandas introduction (Series and dataframe objects )
- Visualization ( MatplotLib, Pandas Object visualization, Seaborn )
- Project - Practice data analysis with real life datasets.
- Technical Indicators
- Strategies in Algotrading
- Backtesting
- Lookahead Bias

Part 2 as Machine Learning & Algotrading:
-Linear Algebra
-Statistics
-Data preprocessing and cleaning
-Bayes Theorem
-Connectionist Neuron
-Multilayer Perceptron
-Gradients
-Deep Learning
-Recurrent Neural Networks
-RBF Networks
-Statistical Learning Theory
-Support Vector Machines
-Support Vector Regression