Data Mining/Machine learning

Machine learning is becoming over the modern data-driven world and it is a growing technology among many companies to extensively support many fields, such as search engines, robotics, self-driving cars, and so on. Here in this course you can explore various real-time scenarios where you can use machine learning.

This course will be making you to understand and implement all Machine learning algorithms with exciting examples. Every trainer will be delivering machine learning algorithms followed by practical session. Most importantly you will be learning from trainers Bottom level to Top level all algorithms, such as Linear Regression, Logistic Regression, Support Vector Machines, Principal Component Analysis, Time Series Analysis Deep Neural Networks, and so on. This is going to friendly to Python programmers and data analyzers to play around with the code to implement machine learning techniques.

Course Details

First Course: Machine Learning with Python Course

Python	Machine Learning	ML and Adaptive Intelligence
Fundamentals	Getting Started in Machine Learning	Modeling Relationships Between Variables Using Regression
Lists	Understanding the Machine Learning Workflow	Understanding Simple Regression Models
Functions	Asking the Right Question	Implementing Simple Regression Models in Python
Packages	Preparing Your Data	Understanding Multiple Regression Models
Numpy	Selecting Your Algorithm	Implementing Multiple Regression Models in Python
MatplotLib	Training the Model	Decision Trees
Dictionaries & Pandas	Testing Your Model’s Accuracy	Support Vector Machine
Control flow and Filtering		K-Means & Hierarchical Clustering
Loops		Dbscan
Case Study: Hacker Statistics		Content-Based Recommender Systems