Aditya Saxena's repositories
Trading_Bot_using_Reinforcement_learning
This repository contains the python code for the implementation of a trading bot using Reinforcement Learning Algorithms.
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Applied-Deep-Learning
Applied Deep Learning Course
coding-interview-university
A complete computer science study plan to become a software engineer.
COL106
This repository contains the code for the assignments of the course on Data Structures and Algorithms
COL772
Assignments for the NLP course at IITD
COL774
This repository will contains all the assignments to be done for the completion of the course COL 774 at IIT, Delhi taken by Professor Parag Singla
COL774AD
Assignments for the Machine Learning Course at IIT Delhi
COL775
COL775 assignments, papers, resources
competitive-programming-resources
A compilation of competitive programming resources, curated by the Algorithms and Coding Club, IIT Delhi
Deep_learning_Projects_using_Tensorflow-
This repository contains all the deep learning models that I have implemented while learning Tensorflow.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
machine_learning_examples
A collection of machine learning examples and tutorials.
Natural_Language_Processing
This repository contains NLP projects that I have created using data science.
Resources-for-preparation-Of-Placements
Lecture video links for preparation of Placements
summer-of-code-2023
4-week long hackathon across 4 tracks App, Backend, Frontend and Machine Learning.
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Technical-Indicators
This repository contains the summary and implementation of the topics in Algorithmic Trading that I learned while participating in Summer of Quant'23
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
TimeSeriesAnalysis
This repository contains various statistical, machine learning, deep learning, industrial and unorthodox techniques which I have implemented while learning about Time Series Analysis.