Notebooks from working through the material in Hands-On Machine Learning with scikit-learn and TensorFlow; uploaded from Google Colab.
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Updated
May 1, 2019 - Jupyter Notebook
Notebooks from working through the material in Hands-On Machine Learning with scikit-learn and TensorFlow; uploaded from Google Colab.
A CNN architecture used to predict handwritten Hindi Digits.
Introduction Course to Deep Learning using Google Colab.
This is my Machine Leering and Deep Learning Practice on Google Colab.
ADS-B signal neural network based decoder
Кваліфікаціна робота магістра. Тема: "Формування дивiдендної полiтики корпорацiї (на прикладi компанiй, що входять до iндексу Standard & Poor’s 100)"
An implementation of the Pix2Pix paper for image colorization using PyTorch.
AI-powered real-time road hazard detection system that identifies potholes, speed breakers, and other obstacles using YOLOv8 and computer vision — ensuring safer, smarter, and privacy-preserving mobility.
Demonstrates how to deploy a live Streamlit web app directly from Google Colab using ngrok for public access. Since Colab doesn’t expose ports externally, ngrok creates a secure tunnel, allowing anyone to interact with your app via a temporary public URL.
CNN-based cat–dog classifier with interactive prediction and real-time fine-tuning (TensorFlow + Google Colab).
Обучение нейросети для распознавания выражения лица
PySpark analysis of AWS Reviews Dataset for wireless products
A curated list of all my NLP plays. Feel free to play in my NLP playground and a new play.
Job Interview Project
Inteligencia Artificial
Analysis of COVID-19 infection rates in various countries, correlating them with factors such as GDP per capita and social support.
The project uses python in google colab . It uses logistic regression algorithm
A machine learning project using logistic regression to predict diabetes based on health indicators. Includes EDA, preprocessing, model tuning, and evaluation. Built under the guidance of Priya Bhatia Ma'am during the GeeksforGeeks ML & DS Program.
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
🔐 Secure Check – A Data Science mini project using Python, Streamlit, PostgreSQL, and SQLAlchemy to validate, clean, and analyze structured data with interactive dashboards.
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