Raj Singh's starred repositories
cs-video-courses
List of Computer Science courses with video lectures.
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
dk-cs-notes
Personal notes on my continuous progress in pursuing mastery of my craft.
algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
cs-video-courses
List of Computer Science courses with video lectures.
data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
Data-Structures-and-Algorithms-in-Python
Mainly for leetcode
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
Grokking-System-Design
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
Grokking-the-Coding-Interview-Patterns
This course categorizes coding interview problems into a set of 16 patterns. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a specific category of problems. The goal is to develop an understanding of the underlying pattern, so that, we can apply that pattern to solve other problems.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
mslearn-dp100
Lab files for Azure Machine Learning exercises
Nutshell-Machine-Learning
This is a repository built by the community for the community.
Several-Coding-Patterns-for-Solving-Data-Structures-and-Algorithms-Problems-during-Interviews
Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews
Stats-Maths-with-Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us
teachyourselfcs
Personal notes on my continuous progress in pursuing mastery of my craft.