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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