Machine Learning Data Analysis

by Keen Infotech Claim Listing

Machine Learning Data Analysis course is offered by Keen Infotech. Keen Infotech, a complete software training institute is setup with the purpose of providing quality training and empowering the skills of professionals for Software Development & Software Quality Testing (SQT).

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Course Details

Machine Learning Data Analysis course is offered by Keen Infotech. Keen Infotech, a complete software training institute is setup with the purpose of providing quality training and empowering the skills of professionals for Software Development & Software Quality Testing (SQT).

Keen Infotech is registered by the Govt. of Rajasthan & ISO 9001:2008 Certified Training Institute in Udaipur. (Certificate No. 21502041521).

 

Outline:

  • Course Intro With Data Analysis
  • Installation Setup and Overview
  • IDEs and Course Resources
  • iPython/Jupyter Notebook Overview
  • Learning Intro to numpy
  • Intro to numpy
  • Creating arrays
  • Using arrays and scalars
  • Indexing Arrays
  • Array Transposition
  • Universal Array Function
  • Array Processing
  • Array Input and Output
  • Pandas
  • Series
  • DataFrames
  • Index objects, Reindex
  • Drop Entry , Selecting Entries
  • Data Alignment
  • Rank and Sort
  • Summary Statistics
  • Missing Data
  • Index Hierarchy
  • Working with data
  • Reading and Writing Text Files
  • JSON with Python
  • HTML with Python
  • Microsoft Excel files with Python
  • Merge ,Merge on Index
  • Concatenate
  • Combining DataFrames
  • Reshaping Pivoting
  • Duplicates in DataFrames
  • Mapping Replace
  • Rename Index
  • Binning,Outliers,Permutation
  • GroupBy on DataFrames, GroupBy on Dict and Series
  • Splitting Applying and Combining
  • Cross Tabulation
  • Data Visualization
  • Installing Seaborn
  • Histograms
  • Kernel Density Estimate Plots
  • Combining Plot Styles
  • Box and Violin Plots ,Regression Plots
  • Heatmaps and Clustered Matrices
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Unsupervised Learning
  • K-Means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning
  • Udaipur Branch

    3rd Floor, Mehta Sadan,Durga Nursary Road, Udaipur

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