Master in Data Science with AI & ML

Master in Data Science with AI & ML ( MDSAIML ) is a course designed for Fresh Engineers to set their career in Data Science with strong hold on Artificial Intelligence and Machine Learning it’s an interesting course which prepares you as matured Data Scientist and puts you in future track with AI & ML implementation.

It’s designed carefully to utilize the study period effectively and train you to the skills essentially required by a Data Scientist. The syllabus is carefully build with accommodating all essential skills required by Data Scientist. You can compare MDSAIML course with any other training centers in India or any universities offering M Tech programs on Data Science then you would come to know that MDSAIML course offered by ISM UNIV is the best Data Science with AI & ML course offered in the country.

ISM UNIV is one of the Data Science and AI & ML Training Institute Bangalore, Hyderabad in India offering world class training with excellent Placements. This course takes you from Basics of Data Science life cycle to Most advanced concepts of Implementing Data Science practically. After Successful Completion this course the participants will be able to handle Data science projects Independently with maturity.

COURSE CONTENT

TOOLS TO LEARN

Introduction to Data Science & Life Cycle

EXCEL for Data Science

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PYTHON for Data Science

Python IntroPython Get Started
Python Syntax
Python Comments
Python Variables
Python Data Types
Python Numbers
Python Casting
Python Strings
Python Booleans
Python Operators
Python ListsPython Tuples
Python Sets
Python Dictionaries
Python If…Else
Python Match
Python While Loops
Python For Loops
Python Functions
Python Lambda
Python Arrays
Python Classes/Objects
Python Inheritance
Python Iterators
Python Polymorphism
Python Scope
Python Modules
Python Dates
Python Math
Python JSON
Python RegEx
Python PIP
Python Exception Handling
Python User Input
Python String Formatting

File Handling

Python File Handling
Python Read Files
Python Write/Create Files
Python Delete Files

Python Modules

NumPy TutorialPandas TutorialSciPy TutorialDjango Tutorial

Python Matplotlib

Matplotlib Intro
Matplotlib Get Started
Matplotlib Pyplot
Matplotlib Plotting
Matplotlib Markers
Matplotlib Line
Matplotlib Labels
Matplotlib Grid
Matplotlib Subplot
Matplotlib Scatter
Matplotlib Bars
Matplotlib Histograms
Matplotlib Pie Charts

Machine Learning

Getting Started
Mean Median Mode
Standard Deviation
Percentile
Data Distribution
Normal Data Distribution
Scatter Plot
Linear Regression
Polynomial Regression
Multiple Regression
Scale
Train/Test
Decision Tree
Confusion Matrix
Hierarchical Clustering
Logistic Regression
Grid Search
Categorical Data
K-means
Bootstrap Aggregation
Cross Validation
AUC – ROC Curve
K-nearest neighbors

Python MySQL

MySQL Get Started
MySQL Create Database
MySQL Create Table
MySQL Insert
MySQL Select
MySQL Where
MySQL Order By
MySQL Delete
MySQL Drop Table
MySQL Update
MySQL Limit
MySQL Join

Python MongoDB

MongoDB Get Started
MongoDB Create DB
MongoDB Collection
MongoDB Insert
MongoDB Find
MongoDB Query
MongoDB Sort
MongoDB Delete
MongoDB Drop Collection
MongoDB Update
MongoDB Limit

SQL Database

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NUMPY

Creating Array
Indexing Array
Slicing Arrays
Data Trypes
Copy & View
Arrays Shape
Arrays Reshape
Arrays Iterating
Arrays Join
Arrays Split
Arrays Search
Arrays Sort
Arrays Filter

NumPy Random

Random Intro
Data Distribution
Random Permutation
Seaborn Module
Normal Distribution
Binomial Distribution
Poisson Distribution
Uniform Distribution
Logistic Distribution
Multinomial Distribution
Exponential Distribution
Chi SquareDistribution
Rayleigh Distribution
Pareto Distribution
Zipf Distribution

NumPy ufunc

ufunc Intro
ufunc Create Function
ufunc Simple Arithmetic
ufunc Rounding Decimals
ufunc Logs
ufunc Summations
ufunc Products
ufunc Differences
ufunc Finding LCM
ufunc Finding GCD
ufunc Trigonometric
ufunc Hyperbolic
ufunc Set Operation

PANDAS

Pandas Introduction
Pandas Getting Started
Pandas Series
Pandas DataFrames
Pandas Read CSV
Pandas Read JSON
Pandas Analyzing Data

Cleaning Data

Cleaning Data
Cleaning Empty Cells
Cleaning Wrong Format
Cleaning Wrong Data
Removing Duplicates

Correlations

Pandas Correlations

Plotting

Pandas Plotting

SCIKIT LEARN

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TABLEAU

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POWER BI

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AI & ML Concepts

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Cloud Computing on AWS / GCP

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NLP & NLTK

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Deep Learning through TENSORFLOW

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Apache Spark

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HADOOP

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R Programming for Data Science

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JUPYTER

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GIT

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Excellent Placements @ ISM UNIV
100% Genuine

ISM UNIV Excellent Placements 100%: We are a proud Institution having helped most of our students in their career-building process. We conduct minimum 15 interviews per month and place students. Which is genuinely far ahead of any of our competitors.
We have a client base across India and abroad, we work with MNC’s and MSI, we cater to all our clients with trained manpower and we ensure our client satisfied with the manpower supplied. We ensure this with Quality training.
Weprovide100%genuine placement assistance and guidance and help You to begin an innovative career.
We promise you that we provide interviews until you get a job. We have placed 15000+ students so far…. ISM UNIV Provides Excellent Placements from day-1 of the course