Course Module

  • Introduction
  • Execution steps
  • Memory management and Garbage collections
  • Data Types and Operations
  • Statements and Syntax
  • File Operations
  • Functions
  • Modules and Packages
  • Classes
  • Exception Handling
  • Advanced Concepts
  • Django
    Objectives of this course
  • Learning Advance python packages Numpy and Pandas
  • This course provides hands on training in Machine Learning applications and algorithms
  • Preprocessing of Machine learning
  • Numpy
  • Creating Arrays-Numpy Data types-Array Mathematics-Array Manipulation-Subsetting, slicing, Indexing-boolean Indexing-Array Manipulation-Reshaping,Transposing,spliting and combining arrays-Inspecting Array and aggregating array.
  • Pandas
  • Series-Dataframe-Importing pandas- Dictionary into data frames, read and write to CSV and Excel, selecting, Boolean Indexing, setting, dropping, soring, filling missing values, getting dataframe information and retrieving series, summary and applying lambda function
  • Data Wrangling
  • Combining and Merging Data Sets-Reshaping and Pivoting-Data Transformation-Regular Expression
  • Plotting and Visualization
  • Figures, Subplots, Line plot, bar plot, histograms. Colors, ticks, labels and legends
  • Introduction to Machine Learning
  • Introduction to Machine Learning – types of learning – supervised – unsupervised- classification problem based on the K-nearest neighbors method, Feature Selection - Feature Extraction - Principal Component Analysis - Colloborative Filtering - Unsupervised Learning (Clustering) - Kmeans Clustering - Hierarchical Clustering
  • Numpy and Pandas Overview
  • Dataframes
  • Cleaning data in Python
  • Data Manipulation
  • Data Visualization
  • SQL for Data Science
  • Introduction to Database in python
  • Working with time and date
  • Exploratory Data Analysis
  • Supervised Learning
  • Unsupervised Learning
Course Duration : 54 Hrs | 12 Weeks
Course Price : INR 32,400 16,200
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