Python programming for Machine Learning , Data Analytics
Learn to create Machine Learning Algorithms in Python # Introduction to Data Science and Machine Learning [Step by Step]
Ratings 3.45 / 5.00
What You Will Learn!
- Data Science & Machine Learning with Python
- Data analytics
- Understanding Data With Statistics & Data Pre-processing
- Data Visualization with Python
- Artificial Neural Networks with Python
- Linear regression
- Logistic regression
- Introduction to clustering [K - Means Clustering ]
- Deep Learning -Handwritten Digits Recognition
- Python Programming
Description
At the end of the Course you will understand the basics of Python Programming and the basics of Data Science & Machine learning.
The course will have step by step guidance for machine learning & Data Science with Python.
You can enhance your core programming skills to reach the advanced level. You will learn about Software Design as well. eg: Flow charts, pseudacodes, algorithms. By the end of these videos, you will get the understanding of following areas the
Setting up the Environment for Python Machine Learning
Understanding Data With Statistics & Data Pre-processing (Reading data from file, Checking dimensions of Data, Statistical Summary of Data, Correlation between attributes)
Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection
Data Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..
Artificial Neural Networks with Python, KERAS
KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step
Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ]
Naive Bayes Classifier with Python [Lecture & Demo]
Linear regression
Logistic regression
Introduction to clustering [K - Means Clustering ]
K - Means Clustering
Python Programming
Setting up the environment
Python For Absolute Beginners : Setting up the Environment : Anaconda
Python For Absolute Beginners : Variables , Lists, Tuples , Dictionary
Boolean operations
Conditions , Loops
(Sequence , Selection, Repetition/Iteration)
Functions
File Handling in Python
Flow Charts
Algorithms
Modular Design
Introduction to Software Design - Problem Solving
Software Design - Flowcharts - Sequence
Software Design - Modular Design
Software Design - Repetition
Flowcharts Questions and Answers # Problem Solving
Who Should Attend!
- Beginners of Python programming who are curious about Data Science & Machine Learning
