Machine Learning Training

by WebAsha Technologies Claim Listing

Machine learning is the application of algorithms that allow computers to learn without being explicitly programmed. These algorithms often work best when they are given examples of what is correct and incorrect.

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img Duration

2 Months

Course Details

Machine learning is the application of algorithms that allow computers to learn without being explicitly programmed. These algorithms often work best when they are given examples of what is correct and incorrect.

Machine learning is about training computers to learn without being explicitly programmed. This means computers can learn without humans telling them what to look for. As computers become smarter over time, they gain the capacity to automate tasks once reserved only for people.

WebAsha Technologies offers job-orientated Online and Classroom Machine Learning Training in Pune. Machine learning is a subject of computer science that offers computer systems with the capability to analyze with out being explicitly programmed. 

It is a part of artificial intelligence (AI) that allows software program programs to turn out to be extra particular in predicting consequences with out being explicitly programmed. According to the experts, machine learning and artificial intelligence are going to change the manner we have interaction with everything in our surroundings in the coming days.

 

Prerequisites Machine Learning course requires an understanding of:

  • Statistics
  • Mathematics
  • Python programming
  • Knowledge of these basic courses
    • Python for Data Science
    • Math Refresher
    • Statistics for Data Science
 
Course Content:
  • Python Libraries for ML
  • Supervised ML & Unsupervised ML
  • Mathematical Background for ML- Matrix OPS Probability Theory( Bayes ’ Theorem)
  • Statistical knowledge for ML- Mean, Median, Mode, Z- scores, bias- variance contradiction
  • ML libraries Explained Scipy, Numpy, Matplotlib
  • Data resolve & hyperactive- parameter training
  • Preprocessing data and feature engineering
  • Exploratory Data analysis using Visualization
  • Different types of Regression- Linear and Logistic
  • Naive- Bayes ’ Classification
  • Real- world law exercises
  • SVM Classification intro
  • Real- time mini project
  • Pune Branch

    First Floor, Laxmi Kunj (Beside Maha Nagar CO-Bank), Pune

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