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100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Quantitative Momentum Investing& Quantitative Value Investing Strategies
Codes related to activities on AV including articles, hackathons and discussions.
A collection of resources for pandas (Python) and related subjects.
Exploratory Analysis/K means Clustering/PCA
SQuAD Question Answering Using BERT, PyTorch
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
Customer churn Modelling
Manipulating DataFrames with pandas - Working with data recorded from the Summer Olympic games that goes as far back as 1896!
pandas Foundations - Working with real-world weather and climate data.
Churn Modeling using Neural Networks and Hyperparameter Tuning (TensorFlow and Keras)
Source files for the content on my data science website
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;
Data Analysis on Pandas Homework
My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of dataset 40,000rows x 150 columns
Introduction to Deep Neural Networks with Keras and Tensorflow
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Keras tutorial for beginners (using TF backend)
This ebook from Jason Brownlee, and many others.
Multi-class classification with focal loss for imbalanced datasets
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
demo using FuzzyWuzzy matching company names
Fuzzy string matching between different files using Pandas and Fuzzywuzzy.
The course covers the entire lifecycle of LLM-based generative AI, from data collection and model selection to performance evaluation and deployment giving a comprehensive understanding of generative AI and how to apply it to real-world scenarios.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.