Overview


Machine learning is a tool for turning information into knowledge. Machine learning is the concept that a computer program can learn and adapt to new data without human interference. Machine learning is of great help for businesses. They use it to solve complex issues, define patterns, get new insights, and take intelligent actions based on the data provided. Studying machine learning opens up a world of opportunities to develop cutting-edge machine learning technologies across diverse verticals–such as cybersecurity, image recognition, pharmacy, or face recognition–with every company seeking to implement AI in their market. With several machine learning firms on the verge of hiring skilled ML engineers, the brain behind business intelligence is becoming that.

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Course Content

Course Content


  • Machine Learning
  • About R programming
  • Installing RStudio
  • Working in RStudio/dataset/about packages
  • Fundamentals of R programming
  • Preliminaries of Statistics
  • Data types
  • Measure of Central Tendency & Dispersion
  • Graphical Representation
  • Probability Theory/Normal Distribution
  • Skewness/Kurtosis/Standard Normal Distribution (Z-score)/Q-Q plot
  • Binomial & Poisson Distribution/Scatter Diagram/Correlation Analysis
  • Confidence Interval/Z-distribution & t-distribution
  • Case Study
  • Regression Analysis: Linear Regression/Multiple Linear Regression/Logistic Regression
  • Probability/confusion matrix
  • Case Study
  • Clustering/Euclidean Distance
  • Hierarchical clustering
  • K-means clustering
  • Case Study
  • Manhattan Distance/K-Medoids/DBSCAN/CLARA
  • Decision Tree/Random Forest
  • Dimension Reduction/PCAText Mining
  • Word cloud/NLP/Emotion Mining
  • Web Extraction
  • Case study
  • kNN/SVM/Neural Network
  • Naïve Bayes Classifier/Poisson Regression/Negative Binomial Regression
  • Lasso & Ridge Regression/Zero-Inflated Regression
  • Multinomial Regression/Survival Analysis
  • Getting started with Python & Packages
  • Basic statistics/Graphical representation
  • Linear Regression/Logistic Regression
  • Hierarchical Clustering
  • k-means clustering
  • kNN/Naïve Bayes/SVM
  • Decision Tree/Neural Network
  • Text Mining/Data Extraction

Learning is a weapon of Destroying Our Illness....