🌟 ML-Capsule: Hands-on ML from Basic to Advance 🌟

Welcome to ML-Capsule! This repository is a comprehensive collection of machine learning projects and resources, ranging from beginner to advanced levels. It covers a variety of topics, from basic machine learning concepts to deep learning, natural language processing, and much more.

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📈 Why Machine Learning?

Machine learning is a technique to analyze data that automates the process of building analytical models. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.

Importance of Machine Learning

Machine learning is crucial because it provides enterprises with insights into customer behavior and business operational patterns, and supports the development of new products. Leading companies like Facebook, Google, and Uber integrate machine learning into their operations, making it a significant competitive differentiator.

📚 Pre-requisites

• Python IDE: Install from python.org
• Learn Python: If you're new to Python, start learning from W3Schools

🗂️ Topics Covered

1. Extracting Data

Extraction refers to methods of constructing combinations of variables to accurately describe the data.

• Web Scraping: Library used - Beautiful Soup, to extract data from web pages.

2. Visualization

Data visualization places data in a visual context to expose patterns, trends, and correlations.

• Libraries Used: Seaborn, pandas, matplotlib

3. Feature Selection

The process of selecting relevant features for use in a model to increase accuracy and performance.

• Library Used: scikit-learn
• Learn More: Feature Selection

4. Basic Concepts of Statistics

• Analytics Types: Descriptive, Diagnostic, Predictive, Prescriptive

• Probability: Conditional, Independent Events, Bayes’ Theorem

• Central Tendency: Mean, Mode, Variance, Skewness, Kurtosis, Standard Deviation

• Variability: Range, Percentiles, Quantiles, IQR, Variance

• Relationships: Causality, Covariance, Correlation

• Probability Distribution: PMF, PDF, CDF

• Hypothesis Testing: Null and Alternative Hypothesis, Z-Test, T-Test, ANOVA, Chi-Square Test

• Regression: Linear Regression, Multiple Linear Regression

  

5. Data Science

• Data science is a dynamic and multidisciplinary field dedicated to extracting insights and solving complex problems through data.

• Multidisciplinary investigations leverage knowledge from various domains, such as economics, biology, and engineering, to create comprehensive solutions by integrating diverse perspectives.

• Models and methods for data are at the heart of data science, employing statistical techniques and advanced machine learning algorithms to uncover patterns, make predictions, and inform decisions.

• Pedagogy in data science is concerned with the development and implementation of effective teaching practices and educational tools to ensure that learners acquire the necessary skills and knowledge.

• Computing with data involves the use of computational tools and technologies for managing, processing, and analyzing large datasets, including skills in programming and database management.

• The theory behind data science provides the mathematical and statistical foundations necessary for developing and applying various methods. Finally, tool evaluation focuses on assessing and selecting the best software, programming languages, and platforms based on performance and usability to ensure effective data analysis.

• Together, these areas contribute to the robust and evolving nature of data science, driving innovation and informed decision-making across multiple sectors.

Available Projects

<table> <tr> <td align="center">S.No</td> <td align="center">Projects</td> <td align="center">S.No</td> <td align="center">Projects</td> <td align="center">S.No</td> <td align="center">Projects</td> <td align="center">S.No</td> <td align="center">Projects</td> </tr> <tr align="center"> <td align="center">1.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Advanced%20Visualizations">Advanced Visualizations</a></td> <td align="center">2.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Alzheimers%20Disease%20Predictor">Alzheimer's Disease Predictor</a></td> <td align="center">3.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Analysis%20&%20Predict%20Black%20Friday%20Sale">Analysis & Predict Black Friday Sale</a></td> <td align="center">4.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Anime%20Data%20Analysis%20and%20Prediction">Anime Data Analysis and Prediction</a></td> </tr> <tr align="center"> <td align="center">5.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Artificial%20Neural%20Network%20from%20Scratch">Artificial Neural Network from Scratch</a></td> <td align="center">6.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Association%20Rule%20Implementation">Association Rule Implementation</a></td> <td align="center">7.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Audio%20Classification">Audio Classification</a></td> <td align="center">8.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Autism%20Identification%20System">Autism Identification System</a></td> </tr> <tr align="center"> <td align="center">9.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Automatic%20Summarization%20of%20Scientific%20Papers">Automatic Summarization of Scientific Papers</a></td> <td align="center">10.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Basics%20of%20ML%20and%20DL">Basics of ML and DL</a></td> <td align="center">11.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Basics%20of%20Power%20BI">Basics of Power BI</a></td> <td align="center">12.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Basics%20of%20Python">Basics of Python</a></td> </tr> <tr align="center"> <td align="center">13.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Bidirectional%20LSTM">Bidirectional LSTM</a></td> <td align="center">14.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Bird%20Species%20Classification%20Web%20App">Bird Species Classification Web App</a></td> <td align="center">15.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Bitcoin%20Price%20Prediction%20Web%20App">Bitcoin Price Prediction Web App</a></td> <td align="center">16.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Bitcoin%20Price%20Predictor">Bitcoin Price Predictor</a></td> </tr> <tr align="center"> <td align="center">17.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Brain%20Tumor%20Detection">Brain Tumor Detection</a></td> <td align="center">18.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Breast%20Cancer%20Detection%20using%20DL%20with%20Webapp">Breast Cancer Detection using DL with Webapp</a></td> <td align="center">19.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/CBT%20ChatBot">CBT ChatBot</a></td> <td align="center">20.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/COVID-19%20Data%20Analysis">COVID-19 Data Analysis</a></td> </tr> <tr align="center"> <td align="center">21.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Chatbot%20Using%20RASA">Chatbot Using RASA</a></td> <td align="center">22.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Cheat%20Sheets">Cheat Sheets</a></td> <td align="center">23.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Chi-Square%20Test">Chi-Square Test</a></td> <td align="center">24.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Chicken%20Disease%20Classification">Chicken Disease Classification</a></td> </tr> <tr align="center"> <td align="center">25.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Chronic%20Kidney%20Disease%20Prediction">Chronic Kidney Disease Prediction</a></td> <td align="center">26.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Class%20Imbalance%20Problem">Class Imbalance Problem</a></td> <td align="center">27.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Classification%20Algorithms">Classification Algorithms</a></td> <td align="center">28.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Cloud%20Details">Cloud Details</a></td> </tr> <tr align="center"> <td align="center">29.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Clustering%20Algorithms">Clustering Algorithms</a></td> <td align="center">30.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Company%20Bankruptcy%20Using%20Unsupervised%20Learning">Company Bankruptcy Using Unsupervised Learning</a></td> <td align="center">31.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Covid-19%20Forecasting%20with%20Prophet">Covid-19 Forecasting with Prophet</a></td> <td align="center">32.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Covid%20Third%20Wave%20Forecasting">Covid Third Wave Forecasting</a></td> </tr> <tr align="center"> <td align="center">33.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/CrowdAI%20Plant%20Disease">CrowdAI Plant Disease</a></td> <td align="center">34.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Crude%20Oil%20Forecasting">Crude Oil Forecasting</a></td> <td align="center">35.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Customer%20Segmentation%20USvAlgorithm">Customer Segmentation USvAlgorithm</a></td> <td align="center">36.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Customer%20Segmentation%20using%20Machine%20Learning">Customer Segmentation using Machine Learning</a></td> </tr> <tr align="center"> <td align="center">37.</td> <td align="center"><a href="https://github.com/Niketkumardheeryan/ML-CaPsule/tree/main/Projects/Dark%20Pattern%20Detection">Dark Pattern Detection</a></td> <td align="center">38.</td> <td