Best Data Science Training in Hyderabad

Data Science is an extremely vast field and the contents within this domain is mammoth to say the least.Let’s take a look Programming Languages: Mastering a programming language is highly necessary to pursue Data Science.One can choose from an array of languages including R programming language, Python,Matlab, etc.

R programming language Training in Ameerpet

Python Training in Hyderabad
For Python, libraries and packages like Matplotlib, Numpy, Pandas, Seaborn, Scikit-Learn, Scipy, BeautifulSoup, Bokeh, Urllib, PandaSQL, etc.are extremely important to know.Similarly, for R – ggplot2, tidy, etc.Data Visualization & Analysis: Analytics and Visualization forms an integral part of the Data Science workflow. One needs to have the knowledge of using plotting libraries in programming languages like matplotlib,Qplot, seaborn in Python and ggplot2 in R programming language. Also having the understanding of using Tableau, Excel is considered necessary for
interactive visualization along with Statistics. Machine Learning& Deep Learning: Under Machine Learning, topics to be covered are Supervised Learning, Unsupervised Learning, Reinforcement Learning, Training, Testing and Validation of Models Predictive modelling to say in brief.Supervised Learning: Logistic Regression,Linea Regression,Support Vector Machine,Decision tree,Random Forest, Time Series Analysis,K-nearest neighbours.
Unsupervised Learning:Kmeans Clustering,Association Rule Mining.& Reinforcement Learning. Text Analytics: Natural Language Processing,Nltk. Deep Learning Training in Hyderabad : Artificial & Convolutional Neural Network etc.

 

Couse: Machine Learning

Prerequisites: Python, Statistics

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Python Training in hyderabad

Introduction to python

Setup and install

Pandas

Numpy

Matplotlib

Requests

Regex

Math

Scikitlearn

Scipy

Keras

Xgboost

Few More …….

 

Statistics:

Mean

Median

Range

Correlation

Covariation

SD and Variance

Sampling

F test

Z test

T test

Bayesian Statistics

Probability

Permutation and combination

Introduction to Calculus

Few more

All the above implementations in python or R(optional depending on the course taken)

 

Machine Learning Training in hyderabad

Error

Cost Function

Gradient Descent

Learning

Supervised (intro)

Unsupervised (intro)

Reinforcement(intro)

Supervised algos:

Linear Regression

Logistic Regression

Few more

Unsupervised algos:

Clustering (intro)

Hierarchial clustering

K means clustering

Project on both Supervised and Unsupervised

Level: Easy

Final Assessment

Project on Machine Learning

Level: Medium / Tough

Project on Course

Level: Real Time

Free Electives:(These Electives individually can become entire course decide the elective based up on your career interest. Its useless to learn everything. Become Best at one thing rather knowing everything: Happy Learning)

 

Elective 1:

Intro to NATURAL LANGUAGE PROCESSING

Mini project

Elective 2:

Intro to Deep Learning

Mostly includes Neural Networks

Mini project

Elective 3:

Intro to Image Processing

 

 

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