akbarboghani Goto Github PK
Name: Invictus
Type: User
Invictus's Projects
hydrogen
:atom: Run code inline in Atom using Jupyter kernels
iktrading
Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.
interactive_machine_learning
IPython widgets, interactive plots, interactive machine learning
interpretable-ml-book
Book about interpretable machine learning
intro-to-data-science-with-python
A tutorial for getting set-up to do data science with Python
intro-to-machine-learning
Python code for Udacity's "Intro to Machine Learning" course
introtohadoopandmr__udacity_course
:elephant: Source code for assignments of Udacity course "Introduction to Hadoop and MapReduce"
ipython-minibook
UPDATE (2015): This is an old repo, go here for the new edition
julia
The Julia Language: A fresh approach to technical computing.
jupyter
Jupyter metapackage for installation, docs and chat
kaggle
Codes for Kaggle Competitions
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
knowledge-map
🌍 Interactive Mind Map for learning anything
labeled-tweet-generator
Search for tweets and download the data labeled with its polarity in CSV format
langchain
⚡ Building applications with LLMs through composability ⚡
langchaincodbasics
Tutorial for langchain LLM library
langflow
⛓️ Langflow is a UI for LangChain, designed with react-flow to provide an effortless way to experiment and prototype flows.
langfuse
Open source observability and analytics for LLM applications
lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#, VB, Java)
learn-pandas
Tutorials on how to use pandas effectively to do data analysis
learndatascience
Open Content for self-directed learning in data science
learnpython
Beginner Python Course with JuPyter Notebooks. Includes 17 video tutorials, 17 lessons, 17 projects, with 17 solutions.
lectures
Oxford Deep NLP 2017 course
linear-discriminant-analysis-and-svc-for-market-direction-prediction-
linear discriminant analysis and SVC for market direction prediction
linear_regression_live
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
lm-hackers
Hackers' Guide to Language Models
machine-learning-books-with-python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
machine-learning-with-python
Python code for common Machine Learning Algorithms
machine-learning-with-python-1
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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