CarPricePredictor

Description Developed a machine learning model using regression algorithms to predict car prices based on various features such as model, brand, year, and mileage.

Files

• car_price_prediction.ipynb: Jupyter Notebook containing the code.
• dataset.csv: Dataset used for training and testing.

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Economic Data Analysis Project

Description Conducted a comprehensive analysis of economic data, exploring various indicators and trends to gain insights into economic patterns.

Files

• economic_data_analysis.ipynb: Jupyter Notebook with the code.
• economic_data.csv: Dataset used for analysis.

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K_MeansClustering

Description Implemented the K-Means clustering algorithm to group data points based on similarity, providing a structured approach to data analysis.

Files

• k_means_clustering.ipynb: Jupyter Notebook with the code.
• data.csv: Dataset used for clustering.

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MapUp-Data-Assessment

Description Project related to MapUp data assessment, involving the exploration and analysis of geographical data.

Files

• mapup_data_assessment.ipynb: Jupyter Notebook with the code.
• geographical_data.csv: Dataset used for assessment.

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Matches_Project

Description Developed a project related to analyzing and exploring data related to matches, providing insights and patterns.

Files

• matches_project.ipynb: Jupyter Notebook with the code.
• matches_data.csv: Dataset used for analysis.

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NBA_Stats_Scraping_Analysis

Description Conducted web scraping to collect NBA statistics, followed by analysis and visualization for gaining insights into player performance.

Files

• nba_stats_scraping_analysis.ipynb: Jupyter Notebook with the code.
• nba_player_stats.csv: Dataset containing scraped NBA player statistics.

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SmsSpamClassifier

Description Developed a spam classifier for SMS using Natural Language Processing (NLP) and Machine Learning (ML) techniques.

Files

• sms_spam_classifier.ipynb: Jupyter Notebook with the code.
• vectorizer.pkl and model.pkl: Pickle files containing the trained TF-IDF vectorizer and the machine learning model.

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Stock_Pred with ML

Description Utilized machine learning algorithms for stock price prediction, analyzing historical stock data to make predictions.

Files

• stock_price_prediction.ipynb: Jupyter Notebook with the code.
• stock_data.csv: Dataset used for training and testing.

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Weather Prediction with ML

Description Implemented machine learning for weather prediction, considering various meteorological factors for accurate forecasting.

Files

• weather_prediction.ipynb: Jupyter Notebook with the code.
• weather_data.csv: Dataset used for training and testing.

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Football_Matches_Pred_ML

Description Project focused on predicting football match outcomes using machine learning models, analyzing historical match data.

Files

• football_matches_pred_ml.ipynb: Jupyter Notebook with the code.
• football_match_data.csv: Dataset used for training and testing.