-ppba-pythonbasicprogrammingassignment-ineuron

airfoil-dataset-regression-with-deployment

This is me learning deployment on heroku by making a simple Flask web app with my simple machine learning model using RandomForestRegressor on Airfoil Dataset from Airfoil Dataset on https://archive.ics.uci.edu/ml/datasets.php

algerian-forest-dataset-prediction

Here I've used various machine learning techniques as well as done EDA & feature engineering on algerian-foresy-dataset found on uci ml repo(https://archive.ics.uci.edu/ml/datasets/Algerian+Forest+Fires+Data)

avr2002

avr_ineuron_assignments

backend-library-management-sys

Backend for simple Library Management System using FastAPI. Deployed on GCP Cloud Run as Docker Image.

business-license-status-prediction

The project aims to predict if a customer's license should be issued, renewed, or cancelled depending on various parameters in business license dataset

credit-card-default-prediction

This a classic Credit Card Default Prediction project where based on customer profile we want to predict whether the borrower is likely to default in the next 2 years or not having a delinquency of more than 3 months.

cv-jd-matching

Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using cosine similarity.

deep-learning-with-tensorflow-and-keras

My Notes from the book Deep Learning with TensorFlow and Keras, 3rd Edition

fake-news-classification-using-rnn-and-lstm

Implementing various NLP techniques like RNN, LSTM, and GRU for Fake News Classification

hyperparameter-optimization

Code repository for the online course Hyperparameter Optimization for Machine Learning

image-classification-cnn-model-for-real-time-prediction

Multi-Class Image Classification Project to classify images into driving license, social security, and others category.

image-coloring-using-autoencoders

Coloring black and white images using autoecoders and transfer learning

kennethleungty

Data Science Portfolio

lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

learning-rust

Learning Rust.

machine-learning-with-pytorch-scikit-learn

My Notes from Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka

medical-data-extraction-project

This is a basic python project using OpenCV, FastAPI, and Regex that extracts required data from medical documents like patient details and prescription details.

medical-embeddings-and-clinical-trial-search-engine

The Project aims to train SkipGram and FastText Models on COVID-19 Clinical Trials Dataset and builds a Search Engine where user can type any COVID-19 related keyword and it presents all the top n similar results from the dataset

ml

Notes from Machine Learning using Python by Manaranjan Pradhan, U Dinesh Kumar

ml.in.production

Machine Learning School. Learning Machine Learning in Production.

ml_notes

Machine Learning Notes

nlp-with-tensorflow

My Notes from the book Natural Language Processing with TensorFlow, 2nd-ed. by Thushan Ganegedara

portfolio-avr

I'm an aspiring Machine Learning Engineer. This is my Portfolio.

python-prod-course

Taking Python to Production Course by Eric Riddoch

regression-models-for-house-price-prediction

House Price Prediction using different regression models like Linear, Ridge, Lasso, Elastic Net, Random Forest, XGBoost, K-Nearest Neighbours, Support Vector Regressor, XGBoost. Also, multi-layer perceptron(MLP) was implemented using TensorFlow

resume-parser-using-ner

reviewscrapper_in

se2001-21f3002226