Machine Learning Fundamentals Projects

Hands-on applications of core ML concepts.

Image Classification Project

Image Classification with CNNs

Build and train a Convolutional Neural Network to classify images from scratch using TensorFlow/PyTorch.

Deep Learning Computer Vision TensorFlow Python
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Regression Analysis Project

House Price Prediction (Regression)

Implement linear and polynomial regression models to predict house prices based on various features.

Supervised Learning Regression Scikit-learn Pandas
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Sentiment Analysis Project

Sentiment Analysis with NLP

Develop a sentiment analyzer for customer reviews using techniques like TF-IDF and Naive Bayes.

Natural Language Processing Text Classification NLTK Python
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Clustering Project

Customer Segmentation (Clustering)

Apply K-Means clustering to segment customers based on their purchasing behavior.

Unsupervised Learning Clustering Scikit-learn Matplotlib
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Time Series Forecasting Project

Stock Price Forecasting

Build a time series model (e.g., ARIMA) to forecast future stock prices.

Time Series Analysis Forecasting Statsmodels Pandas
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Anomaly Detection Project

Anomaly Detection in Network Traffic

Implement algorithms to detect unusual patterns in network data, identifying potential anomalies.

Unsupervised Learning Anomaly Detection Scikit-learn Python
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