Lists (17)
Artificial Intelligence
Data Cleaning
Data Cleaning reposData Engineering
Data Observerbility
Data Science Repositories
A list of best data science resources to jump start your career in data.Data Structures & Algorithms
Data Structures and AlgorithmsData Visualization
My star data visualization reposGoogle Data Analytics
Google Data Analytics professional certificate reposLeetcode
Leetcode SolutionsMachine Learning Repos
A collection of machine learning repositoriesMLOPs
Pandas
A collection of Pandas reposPapers
Portfolio
portfolio and ResumesTableau Repos
Tableau RepositoriesTime Series Analysis with Python
Time Series analysis with pythonWeb Scrapping
Stars
Data Science Session at Lux Tech and Data Science East Africa on 26th Apr 2022 and 3rd Aug 2024
Welcome to my project repository for developing and evaluating an algorithmic trading strategy using historical financial and macroeconomic data.
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
The code behind docs.getdbt.com
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊
Go from no deep learning knowledge to implementing GPT.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A data science project to predict whether a transaction is a fraud or not.
Webapp to predict the Air Quality Index of a region given climate conditions.
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
Credit card fraud detection through logistic regression, k-means, and deep learning.
Simple python example on how to use ARIMA models to analyze and predict time series.
🎓 Sharing machine learning course / lecture notes.
10 Weeks, 20 Lessons, Data Science for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Finding and analysing the least viewed articles on English Wikipedia
Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Classification using Naive Bayes with Python
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube