Python programming for Data Science and Machine Learning

COURSE | Started On : Tuesday, 23 March 2021 16:43 | 0
Instructor: Evelyn Benedict Evelyn Benedict

"Python programming for Data Science and Machine Learning Learning Python with the specific o...


Python programming for Data Science and Machine Learning
Learning Python with the specific objectives of being able to
1. Fetch, cleanse and prepare datasets for consumption by ML algorithms
2. Work with ML Libraries such as Scikit Learn and Tensorflow for optimisation, performance metrics generation, regularisation and other steps in the ML lifecycle
3. Data visualisation for better understanding of data and impactful presentation of results

Discussion of these topics are done in the context of solving business problems with Machine Learning algorithms. This module is aimed at providing the required Python programming skills to Machine Learning engineers. Those interest in becoming expert Python programmers need to supplement these skills with other Python programming concepts such as web scraping, web integration, API development etc. which are generally not used in machine learning.

1 month ₹ 12499
Course Information
Evelyn Benedict


Published Date
2021-03-23 16:43:00

Certificate Term
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Introduction to Python - Origin, Philosophy and Simplicity
Introduction to Python and computational thinking
Python - comments, variables and types, lists, console io
Getting started with Python - comments, datatype
Python - comments, datatypes, assignment
2.0 Python-string Operations
3.0 Python- print formatting
4.0 Python - datatime
Python - List, set, tuple, dictionary
Python-data structure
Python - lists and other collections
Python - Control Flow
Python-Control Structure
1.4 Python Control Flow
Python Functions
Python - Functions and classes
Functions and classes - Part 1
Python - Exception Handling
Python - Functions and classes
File I/O
1.0 Python-zip
Python - Pandas dataframe
1.0 Pandas - creating dataframe from list and dictionary
1.1 Pandas - importing data into dataframe
2.0 Pandas - basic operations - detail discussion
2.1 Pandas - slice, sort, fill and other common operations
2.2 Python-Pandas basics
3.0 Pandas - vector operations
4.0 Pandas - Understanding data
Understanding Pandas - Housing dataset - Statistical measures of housing data
Lifecycle of Data Preparation
Data preparation - Categorical data missing data and new features
Data Preparation
Statistical analysis with Python
Statistics - Correlation with Pandas (1)
Bayes theorem - from Excel to Python
1.0 Excel functionalities in Python
2.0 pivot tables with Python
1.0 Financial statement and projections with Python