This repo is created for CodeAlpha Internship Assignment Task Submit! This repository showcases projects and code snippets developed during my internship in Python programming at CodeAlpha
-
Updated
Sep 27, 2024 - Python
This repo is created for CodeAlpha Internship Assignment Task Submit! This repository showcases projects and code snippets developed during my internship in Python programming at CodeAlpha
A centralized repository containing all the tasks and projects completed during my Python Programming internship at CodeAlpha.
Join our dynamic team at CodeAlpha as a Web Intern and dive into the exciting world of web development. In this internship, you'll have the opportunity to work on real projects, enhance your coding skills
🎓 Student Grade Tracker — Java Swing GUI app to manage student grades, calculate averages, and generate performance reports. Built for CodeAlpha Java Internship Task.
Netflix Exploratory Data Analysis using Python, Pandas and Matplotlib.
Machine Learning project for Iris Flower Classification using Random Forest | CodeAlpha Data Science Internship
✍️ A deep learning project that recognizes handwritten digits using a Convolutional Neural Network (CNN) built with PyTorch. The project includes model training, evaluation, visualization, and an interactive Streamlit web application for real-time handwritten digit prediction. Developed as part of the CodeAlpha Machine Learning Internship.
Expense tracker website made on HTML, CSS, and JavaScript. This was my intership task at CodeAlpha
Deep learning speech emotion recognition using CNN-BiLSTM and RAVDESS dataset.
Exploratory Data Analysis (EDA) of the Netflix Titles dataset using Python, Pandas, Matplotlib, Seaborn, and WordCloud, featuring data cleaning, visualizations, business insights, and a Matplotlib dashboard.
Simple Todo List Website
Console-based rule-based chatbot built with Python for the CodeAlpha Python Programming Internship.
This is one of my Code Alpha task.
💳 ML system predicting customer creditworthiness (Good/Bad Credit) using Logistic Regression, Random Forest, Gradient Boosting & XGBoost, with a Streamlit risk-scoring app. Built for the CodeAlpha ML Internship.
A Python-based Stock Portfolio Tracker developed for the CodeAlpha Python Programming Internship.
A Machine Learning based Sentiment Analysis project using TF-IDF, Logistic Regression, NLTK, and VADER sentiment analysis with comprehensive visualizations.
Advanced AI-Powered FAQ Assistant leveraging NLP, TF-IDF retrieval, Generative AI, voice-to-text, and neural speech synthesis to deliver accurate, context-aware, and human-like conversational support.
Add a description, image, and links to the codealpha topic page so that developers can more easily learn about it.
To associate your repository with the codealpha topic, visit your repo's landing page and select "manage topics."