04-nlp-excercise

21072002

ann-

banglore-house-price-pridiction

cc-feb-data_science

This repository includes 4 data science projects - Gender and Age Detection, Customer Segmentation, Web Traffic Forecasting, and Flight Delay Prediction. Completed during an internship at CodeClause, using various data science techniques.

cl1-be

cl3-dc-ci

cl4-bda-bi.

crime-against-womens-data-visualization-

customer-churn-pridiction

customer-segmentation

This Python program performs customer segmentation using unsupervised machine learning techniques such as clustering. It analyzes customer data to group similar customers together and extract insights. The program requires NumPy, Pandas, Scikit-learn, and Matplotlib.

data-analysis-in-python

data-science-and-machine-learning-cheatsheet

This repository contains Cheat sheet for data science and machine learning.

data-science-machine-learning-deep-learning-full-cheatsheet

data-structures-and-algorithms-in-python

deep-learning-excercise

docs

TensorFlow documentation

dsl

face-mask-detection-using-ml

flight-delay-pridiction

This Python program predicts flight delays using machine learning models trained on historical flight data. It requires NumPy, Pandas, Scikit-learn, and Matplotlib.

gender-and-age-detection-with-opencv-and-deep-learning

This Python program uses OpenCV and deep learning models to detect gender and approximate age from an image or video. It uses a pre-trained CNN model trained on facial images to classify gender and age. The code is well-documented and requires OpenCV, NumPy, and TensorFlow.

keshcut-ai-problem-4

machine-learning-excercise

machine-learning-freecodecamp

machine-learning-from-scratch-using-python

A machine learning algorithm implemented in Python from scratch, providing a customizable solution for classification, regression, and clustering problems without relying on any pre-built libraries. Includes methods for making predictions and evaluating the model's performance. Contributions welcome.

music-generation-with-lstm

Engaged in a cutting-edge project leveraging Long Short-Term Memory (LSTM) neural networks to revolutionize music composition and generation. Implemented and fine-tuned LSTM models using Python and TensorFlow to capture intricate patterns and structures in musical data.

music-recommendation-with-knn

neural-network-from-scratch-in-python

object-detection-with-yolo-v4

python-basic-programs