Pinned Repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
CausalImpact
An R package for causal inference in time series
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
content
Official content for Harvard CS109
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
data-pipelines-course
Course materials for my data pipeline video course with O'Reilly
DataScienceResources
Open Source Data Science Resources.
MathAndScienceNotes
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
lokeshgithub's Repositories
lokeshgithub/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
lokeshgithub/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
lokeshgithub/MathAndScienceNotes
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
lokeshgithub/1806
18.06 course at MIT
lokeshgithub/autoEDA-resources
A list of software and papers related to automatic and fast Exploratory Data Analysis
lokeshgithub/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
lokeshgithub/awesome-ds-setting
A tutorial for setting a new machine with core data science tools
lokeshgithub/bookclub-ggplot2
ggplot2 Book Club
lokeshgithub/challenges
PyBites Code Challenges
lokeshgithub/Complete-System-Design
This repository contains everything you need to become proficient in System Design
lokeshgithub/data-science-interviews
Data science interview questions and answers
lokeshgithub/engineering-blogs
A curated list of engineering blogs
lokeshgithub/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
lokeshgithub/free-programming-books
:books: Freely available programming books
lokeshgithub/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
lokeshgithub/kafka-lab
lokeshgithub/kaggle-m5-forecasting-accuracy-4th-place
[kaggle] M5 Forecasting - Accuracy (4th place solution)
lokeshgithub/m5
Kaggle M5 Forecasting - Uncertainty 4th Place Solution
lokeshgithub/M5-Demand-Forecasting
7th placed solution in M5 demand forecasting
lokeshgithub/m5-forecasting
m5-forecsting-accuracy: 143rd, m5-forecastinig-uncertainty: 80th
lokeshgithub/M5-Forecasting-Accuracy
102nd place (silver medal).
lokeshgithub/M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
lokeshgithub/mofc-demand-forecasting-with-time-series-analysis
Time Series Forecasting for the M5 Competition
lokeshgithub/path-to-senior-engineer-handbook
All the resources you need to get to Senior Engineer and beyond
lokeshgithub/programming-notes
My programming journal
lokeshgithub/Pyro-M5-Starter-Kit
Learn Pyro through the M5 forecasting competition
lokeshgithub/python-patterns
A collection of design patterns/idioms in Python
lokeshgithub/restapiwithflaskudemy
lokeshgithub/stumpy
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
lokeshgithub/walmart-sales-forecasting
Kaggle M5 competition, ranked 292/5589 (top 5%).