Data Science and Machine Learning trainer with 5+ years of Experience

Having 5+ years of corporate experience in data science, Machine learning, and Data Analytics. I worked on various medium and large size projects in terms of Machine Learning problems. I have a strong domain knowledge of python and Machine Learning with the intuitive way of teaching.

The course module (python + Machine Learning) is a 120 hrs of a classroom or online based training with real-time project experience

Course Modules (Data Science and Machine Learning Tutorial)

Introduction of Python
Python DataScience Tool Box
Python Data Science ToolBox
User Defined Functions
Scope
Nested Function
Default and Flexible arguments
Lambda Function
Anonymous Function
Iterators
List Comprehension
Cleaning Data
Diagnose Data For Cleaning
Exploratory Data Analysis
Visual Exploratory Data Analysis
Tidy Data
Pivoting Data
Concatenating Data
Data Types
Missing data and testing with Assert
Pandas Foundation
Review of Pandas
Building Data Frames from Scratch
Visual Exploratory Data Analysis
Statistical Exploratory Data Analysis
Indexing Pandas Time Series
Resampling Pandas Time Series
Manipulating Data Frame with Pandas

Indexing Data Frames
Slicing Data Frames
Filtering Data Frames
Transforming Data Frames
Index Objects and Labelled Data
Hierarchical Indexing
Pivoting Data Frames
Stacking and Unstacking Data Frames
Melting Data Frames
Categorical and Group By

Data Visualization

Seaborn Introduction
Data Visualization through Bar Chart
Data Visualization through Pie Chart
Data Visualization through Stack Plot
Data Visualization through Scatter Plot
Data Visualization through HistoGram


Machine Learning

A)Supervised Machine Learning
Regression
K-Nearest Neighbors Classification
Naive Bayes
Cross-Validation
Hyper-Parameter Tuning
Pre-processing Data
Decision Tree


B)Unsupervised Learning
K-Means Clustering
Evaluation of Clustering
Standardisation
Hierarchy
Basics of Neural Network(AI)