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appliedtimeseriesanalysiswithpython

approachingalmost

Approaching (Almost) Any Machine Learning Problem

clinc_oos

In this I have used various text classification techniques in CLINC_OOS and BANKING77 datasets

clustering

This repository contains jupyter notebooks for clustering.

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

gans

This repository contains jupyter notebooks for learning different types of Generative Adversarial Networks

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

graph_based_recommendation

Community detection algorithms to find products that are often purchased together. These clusters of products can then be used to make suitable suggestions to a customer after he purchases (or puts on his online basket) his very first product. The clusters tend to contain similar products either in category (e.g. same products in different colors) or area of use (e.g. kitchen-related stuff).

hands-on-generative-adversarial-networks-with-keras

Hands-On Generative Adversarial Networks with Keras, published by Packt

kaggle-recruit-restaurant

:trophy: Kaggle 8th place solution

keras-gan

Keras implementations of Generative Adversarial Networks.

logo_detect_api

Ankit's

pyspark

This Repository Contains Code for Learning Pyspark

pyspark-and-mllib

Getting start with PySpark and MLlib

pyspark-with-python

Copied From Krish Naik Tutorials , Videos for same on YT Channel

question_generation_v1.1

qg_engine.py changed

rag_chatabot_with_langchain

A retrieval augmented generation chatbot 🤖 powered by 🔗 Langchain, Cohere, OpenAI, Google Generative AI and Hugging Face 🤗

recommendation-system-with-lightfm-and-wide-and-deep

Deep and Wide + LightFM

recommendationengine

This Repo contains code related to recommender system in Python using Tensorflow, Keras and ML Libraries

recommender_system

Collaborative Filtering, Wide and Deep, DeepFM, and XDeepFM Recommender System on Expedia Hotel dataset

recommenders

Best Practices on Recommendation Systems

recommenders-movielens

Recommenders-movielens

rspapers

Must-read papers on Recommender System.

sentiment_classification

Sentiment Classification On Stanford Sentiment Treebank with 5 labels: very positive, positive, neutral, negative, very negative. DataSet Link : https://huggingface.co/datasets/SetFit/sst5

spark-programming-in-python

Apache Spark 3 - Spark Programming in Python for Beginners

summarization

This repository contains jupyter notebooks for implementing summarization.