Data Science & Machine learning

Work on real time cloud projects and Embiot projects as their assignments.

Description


Our Data science and machine learning course intends to provide a deep understanding knowledge on the subject, in this programme Embiot Technologies covering Ten modules that has theory and practical approach. Course includes python programming, linear algebra, statistics, error matrix, machine learning and supporting algorithm. Modules are made to understand the building blocks of the data science and machine learning techniques, algorithms with application based hands on sessions.

Why choose Us



Candidate will be working on real time cloud projects and Embiot projects as their assignments.
Helps Data science and machine learning training successful and candidate will become knowledge-full and professional in Data science and machine learning industry.
Sessions are made to understand the building blocks of the data science and machine learning techniques, algorithms with application based hands on sessions.
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Data Science & Machine Learning₹ 24,000₹ 25,000
1 day left at this price!
Limited seat in the batches
Includes
60 hours training
Resources
Certificate of Completion

Data Science & Machine learning course content

What is Data Science?

What is Machine Learning?

What is Deep Learning?

What is AI?

Data Conversions

Data Analytics & it's types

What is Python?

Why Python?

Install Python

Python IDES

Jupyter Notebook Overview

Python Basic Data Types

Lists

Slicing

Conditional Statements

Loops

Dictionaries

Tuples

Functions

Array

Selection by position & Labels

Pandas

Numpy

Sci-kit Learn

Matplot Library

Linear Systems

Independent Vectors, Basis

Eigen Values and Eigen Vectors

PSD Matrix

Singular Value Decomposition

Reading CSV Files

Saving in Python Data

Loading Python data objects

Writing data to csv file

Selecting rows/observations

Rounding Numbers

Merging Data

Data aggregation

Data Munging techniques

Probability Basics

  • What is probability?
  • Types of probality
  • Different Types of Variables
  • Measures of Central Tendency with examples
  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
  • Measures of Dispersion
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  • Probability & Distributions
  • Binomial Distribution and its properties
  • Poisson Distribution and its properties
  • Normal distributio and its properties
  • Sampling Methods
  • Different Methods of estimation
  • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
    • Frobenius norm
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation

Classification

  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score

Regression

  • MSE
  • RMSE
  • MAPE

Supervised Learning

Linear Regression

  • Linear Equation
  • Slope
  • Intercept
  • Linear Regression - Introdcution - Applications
  • R Square value

Multiple linear Regression

  • Building Multi Linear Regression Model
  • Understanding standard metrics (Variable significance, R-square/Adjusted R-Square, Global hypothesis etc)

Logistic regression

  • ODDS ratio
  • Probability of success
  • Probability of failure Bias Variance Tradeoff
  • ROC curve
  • Bias Variance Tradeoff

Unsupervised Learning

K-Means

K-Means ++

Hierarchical Clustering

SVM

Support Vectors

Hyperplanes

Linear Hyperplane

SVM Kernel

Linear

Radial

polynomial

Other Machine Learning algorithms

K – Nearest Neighbour

Random Forest

Predictive Modeling Steps and Methodology with Live example:

Data Preparation

Exploratory Data analysis

polynomial

Model Development

Model Validation

Model Implementation

Principle component analysis

Assumptions of PCA

Working Mechanism of PCA

Types of Rotations

Standardization

Positives and Negatives of PCA

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Embiot Technologies

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Embiot Technologies
#281/5, "20 th Main Road, Marenahalli Main Road, Vijayanagar, Bengaluru, Karnataka 560040

Panduranga@embiottechnologies .com

Ashwitha@embiottechnologies.com

+91-7019600281 +91-6363800152

+91-6363800153 +91-6363800155