100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

amazon-review-sentiment-analysis

Amazon Reviews Sentiment Analysis: Using Wordcloud and Logistic regression, this project analyzes Amazon reviews to determine sentiment (positive/negative). Gain insights from Wordcloud and explore the power of logistic regression in understanding customer sentiment. Unlock the potential of NLP and ML in this exciting repository!

anomaly-detection

Anomaly Detection with PyCaret: Efficiently detect anomalies using IForest and SVM models. Leverage PyCaret for advanced anomaly detection, plot TSNE and MAP visuals. Explore data patterns and abnormalities in this GitHub repo. Unlock the power of PyCaret for anomaly detection!

auto-sklearn

Automated Machine Learning with scikit-learn

axel_discordbot

Python Discord Bot: Explore this GitHub repository showcasing my custom-built Discord bot. Powered by Python, this bot is packed with features for enhanced server management, moderation, and interactive commands. Join the bot revolution and take your Discord server to the next level!

axel_virtual_assistant-

Personal simple Virtual Assistant

cheque-easy

Simplifying cheque processing for banks using Transformers

chronic_kidney_disease_detection

contribute-to-open-source

[STILL ACTIVE] Learn the GitHub workflow by contributing code in a fun simulation project

contribute-to-this-project

This project is waiting for your contribution. If you have never contributed code on GitHub before, this is the project to get you started.

dapr-model

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

dharshan-portfolio

dharshgpt1.0

DharshGPT1.0: Your gateway to advanced natural language processing. Built on TheBloke/Mistral-7B-Instruct-v0.2-AWQ model, it boasts an intuitive encoder-decoder architecture within its pipeline, alongside an inline prompt interface, empowering users of all levels to excel in language tasks.

django-project-on-recruitment-startup

drbook

drug-review-sentiment

Drug Review Sentiment Analysis: Discover the power of machine learning in analyzing sentiment in drug reviews. This GitHub repository showcases my ML model that utilizes advanced techniques to classify sentiment (positive/negative) in drug reviews. Explore the code, replicate the results, and unlock valuable insights in the world of pharmaceutical

efficient-sru-optimization-via-deep-learning-driven-lstm-dynamical-models

Applied LSTM networks to estimate key variables in a sulfur recovery unit (SRU) of a refinery plant. Achieved accurate predictions for process optimization, even in offline analyzer scenarios. Results validate LSTM's efficacy for industrial dynamical modeling.

first-contributions

🚀✨ Help beginners to contribute to open source projects

galaxies_and_star_classification

Classification of galaxies, stars, and quasars using machine learning models. This project leverages ML algorithms to accurately classify celestial objects based on various features, enabling efficient and automated identification in astronomical datasets.

git-workshop-pr

A repository open for contributions from everyone who follows the Git, GitHub, and Version Control workshop.

gun_detection_opencv

gun_detection_opencv-1

health-care-chat-bot

Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as ecommerce customer service, call centres and Internet gaming. Chatbots are programs built to automatically engage with received message

heart-disease-prediction

This Repo contains my Heart Disease Prediction Project, using EDA and 8 ML models - Logistic Regression, SVC, Decision Trees, Random Forest, Gradient Boosting, KNN, Naive Bayes, and XGBoost. The goal: accurate heart disease detection aiding preventive care.

hello-git

Add your name to the Readme file, make your first contribution!

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

idharshan

image-processing-with-opencv

Image Processing with OpenCV: Analyze histograms, detect contours, and perform grayscale transformations. Enhance images and extract valuable insights.