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Machine Learning Using Python

According to various surveys, Python is one of the most popular programming languages in the world.

Machine Learning is the ability of the computer to learn without being explicitly programmed. In layman’s terms, it can be described as automating the learning process of computers based on their experiences without any human assistance. Machine learning is actively used in our daily life and perhaps in more places than one would expect.

This course includes:

SkyT Institute Duration 6 Months

SkyT Institute Eligibility 10 /12 TH

SkyT Institute TYPE Classroom, Online*

SkyT Institute MODE Regular, Weekends

SkyT Institute Placement 99% Assistance

Professional Software’s

SkyT Institute

SkyT Institute Python From Basic to Advance Synopsis:

SkyT Institute courses, we’ll cover a wide range of topics, including the basics of Python programming and Machine learning, Data processing, Supervised learning, Unsupervised Learning, and more, where you’ll also be creating some projects using it.

  • Application of python
  • Modules and Libraries
  • Installation
  • Keywords & Identifiers
  • Variables
  • Comments
  • Operators
  • Functions
  • Dictionary
  • Lists
  • Tuple
  • Set
  • Iterative Statements
  • Loops
  • Conditional Statements
  • Numpy
  • Pandas
  • Matplotlib
  • Descriptive Statistics
  • Inferential Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Population And Sample
  • Measure Of Central Tendency(Mean, Median, Mode)
  • Measure Of Dispersion(Variance, Standard Deviation)
  • Population Mean And Sample Mean
  • Sampling Method And Its Types
  • Variables And Its Types?
  • Variable Measurement Scales
  • Frequency Distribution And Cumulative Frequency
  • Histograms
  • Percentiles And Quantiles
  • Five Number Summary
  • InterQuartile Range(IQR)
  • Box Plots
  • Effect Of Outliers And Its Removal
  • Probability Density Function
  • Normal Distribution or Gaussian Distribution And
  • Empirical Formula
  • Z score
  • Standardization Vs Normalization
  • Standard Normal Distribution
  • Central Limit Theorem
  • Covariance
  • Pearson Correlation Coefficient
  • Log Normal Distribution
  • Confidence Interval In statistics
  • Type 1 And Type 2 error
  • One Tailed And 2 Tailed Tests
  • Hypothesis Testing, p value
  • T test
  • z test
  • Annova test
  • Chisquare test

Professional Job Profiles:

  • Graphic Designer
  • Visualizer Publisher Photo Editor
  • Cartoonist
  • Illustrator/Artist
  • Advertisement Co. jobs

How to Apply:

For more information related to the Courses please contact our Admission Counselor at info@skytinstitute.com or call +91-975-995-5678.

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