Existing Skills:
Python, C, Java (Basics)
Planning to Learn:
Cloud Platforms (AWS, GCP), MLOps basics
Web Deployment (Flask, Streamlit), Docker
Handwritten Digit Recognition with CNN (Keras)his project focuses on building a deep learning model using Convolutional Neural Networks (CNN) to recognize handwritten digits. The model is trained on the MNIST dataset, a benchmark dataset for handwritten digit recognition tasks.
Objective: To develop a CNN model that can accurately classify handwritten digits (0-9) with high accuracy. ools and Technologies:
- Programming Language: Python
- Deep Learning Framework: Keras Fake News Detector using NLP & Logistic Regression -This project aims to develop a machine learning model that can detect fake news articles using Natural Language Processing (NLP) techniques and Logistic Regression. The model will be trained on a dataset of labeled news articles, where each article is classified as either "fake" or "real".
Objective: To build a reliable fake news detection model that can accurately classify news articles as fake or real based on their linguistic features.
Python for Data Science (IBM โ Coursera)
Machine Learning by Andrew Ng (Coursera)
Guvi certification(guvi.in)
MyDailyWork
stdent tribe cource of AI