artificialharsha
i am a fast learner . i am always very attractive to the new technologies what are coming to the market.
hyderabad
artificialharsha's Stars
mysql/mysql-server
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
elmoallistair/google-data-analytics
google data analytics professional certificate
HelenaAmelia/ifood-data-business-analyst-test
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
krishnaik06/OPENAI-API-Tutorials
keras-team/keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
rust-lang/rust-analyzer
A Rust compiler front-end for IDEs
AvaloniaUI/AvaloniaVS
Visual Studio Extension for Avalonia
florianfesti/boxes
Boxes.py - laser cutting boxes and more
pocketbase/pocketbase
Open Source realtime backend in 1 file
krishnaik06/Advanced-House-Price-Prediction-
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
krishnaik06/Fake-New-LSTM
amberkakkar01/Titanic-Survival-Prediction
Using Machine learning algorithm on the famous Titanic Disaster Dataset for Predicting the survival of the passenger.
xlang-ai/instructor-embedding
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
krishnaik06/Stock-MArket-Forecasting
ugis22/music_recommender
Implement a content-based and collaborative filtering recommendation systems for song recommendations.
SahilChachra/Medical-Cost-Prediction
Predict your Medical insurance cost!
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
ashishpatel26/Titanic-Machine-Learning-from-Disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
alexattia/Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
itachi9604/healthcare-chatbot
a chatbot based on sklearn where you can give a symptom and it will ask you questions and will tell you the details and give some advice.
krishnaik06/Movie-Recommender-in-python
WillKoehrsen/Machine-Learning-Projects
Machine Learning Experiments and Work
krishnaik06/Handle-Imbalanced-Dataset
anujvyas/Machine-Learning-Projects
This repository consists of all my Machine Learning Projects.
krishnaik06/Multiple-Linear-Regression
georgymh/ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.