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data-preparation-and-analysis

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This repository contains a collection of labs that explore various machine learning algorithms and techniques. Each lab focuses on a specific topic and provides detailed explanations, code examples, and analysis. The labs cover clustering, classification and regression algos, hyperparameter tuning, data-preprocessing and various evaluation metrics.

  • Updated Jun 22, 2024
  • Jupyter Notebook

The Bike Sharing Company wants to understand the independent variables on their past data to analyze and create a machine learning model to understand the demand of the bike and accordingly plan a business strategy.

  • Updated Jan 28, 2023
  • Jupyter Notebook

This repository focuses on building several Classification Machine Learning algorithms from scratch following the standard approach of using Data Exploration/Data Preparation techniques. Several algorithms (Logistic, XGBoost, KNN, SVC, Naive Bayes) were trained and used to predict the unseen data. All the algorithms were built as part of Analyti…

  • Updated Jul 31, 2020
  • Jupyter Notebook

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