TCR INNOVATION

syllabus

training week 1 :- data science & machine learning with python

Python Part 1
Python Part 2
Python Projects Assignments
Projects +assignments
Python Libraries
Mathematics
Assignments

training week 2:- DATA SCIENCE & MACHINE LEARNING WITH PYTHON

Data pre-Processing Part 1
Data pre-Processing Part 2
Projects
Assignments
Data pre-Processing Part 3
Assignment
Projects
Quiz

training week 3 :- DATA SCIENCE & MACHINE LEARNING WITH PYTHON

ML Algorithms Part 1
Project 1-3
Project 3-6
ML Algorithms Part 2
Project 6-9
ML Algorithms Part 3
Assignment
Quiz

training week 4 :- DATA SCIENCE & MACHINE LEARNING WITH PYTHON

Internship Project 1 - 2
Internship Project 3 - 4
Report Writing
GitHub
Technical Interview Questions
Quiz 2
Assignment
Quiz 3

training week 5 :- DATA SCIENCE & MACHINE LEARINING WITH PYTHON

Resume Building
Technical Mock Interview
LinkedIn
HR Mock Interview
Task Submission

TOPICS TO BE COVERED

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Q1. What is the concept of Machine Learning?

Machine Learning can be referred to as a subset of Artificial Intelligence. Machine Learning refers to predicting outcomes on the basis of automatically learnt past data without programming explicitly.

Q2. Why is Python used for Machine Learning?

Python is a very flexible and easily understandable code which is very helpful for Machine Learning. It is concise and easily readable even to new developers and thus can help do a set of complex Machine Learning tasks and enables building prototypes for product testing in the Machine Learning process.

Q3. What are libraries - Pandas & SciPy?

Pandas refers to a Python package that provides high performance and easy to use data for the Python programming language. It is a perfect tool for wrangling and munging.

SciPy library contains modules for efficient mathematical routines. It’s main function is to build upon NumPy and its arrays. It has modules to perform common scientific programming Add an answer to this item.

Q4. Importance of Probability and Statistics in Machine Learning?

Statistics and Machine Learning are two very closely related fields . Statistical methods like mean, median , etc can be used to prepare data ready for modeling . Probability acts as a medium in solving problems. It is an important factor in predictive analysis.

Q5. What is meant by Data Pre processing and Data Visualisation ?

Data Pre processing refers to conversion of raw data into an understandable format. It also helps in analyzing data before Machine Learning.

Data Visualization helps in better qualitative understanding through bar, Pie ,Data mapping ,etc.

data science & machine learning with python

syllabus

TOPICS TO BE COVERED

Download brochure

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STILL CONFUSED ?

TCR INNOVATION

data science & machine learning with python

syllabus

TOPICS TO BE COVERED

Download brochure

STILL CONFUSED ?

STILL CONFUSED ?

TCR INNOVATION

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