Machine Learning Tutorial

这个应用程序是任何想要学习数据科学的人的初学者指南

This app is a beginner guide for anyone who wants to study data science and make their own machine learning models. This app Cover whole concept of Machine learning subject for graduate and postgraduate students Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. via Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.

1. Learn various machine learning algorithms:

a. Linear Regression

b. k-means Clustering

c. KNN

d. SVM

e. Naive Bayes

f. Decision Trees

2. Learn to develop various data science projects. Various projects are included in the application so that students can relate concepts with real life problems.

Some projects include:

a. Sentiment analysis

b. Web Scraping

c. Handwritten digit recognition

3. You will understand requirements to create machine learning system like,

* Data preparation capabilities.

* Algorithms – basic and advanced.

* Automation and iterative processes.

* Scalability.

* Ensemble modeling

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