Today is an era of Artificial Intelligence and with the help of Computer Science, we can make profitable predictions based on the current set of data. Piford has artistically crafted the machine learning training in Chandigarh presenting an in-depth knowledge of machine learning, data mining and statistical pattern recognition to empower candidate with an ability to investigate data.

AI and ML technology have been accustomed at a rapid pace due to the skyrocketing demand for precise and farsighted decision making. In order to make our candidates industry ready, Our Machine Learning training in Chandigarh revolves around the python. The manageable and quantifiable Python machine learning provides deep learning training in Chandigarh. By the end of your training program, a candidate would be competent of portfolio management, fraud detection and implement algorithms in diverse industries such as Medical, Industry, Insurance Industry, Finance Industry, etc. .

Machine Learning Training in Chandigarh

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science
  • Introduction to Python
    • Python Basics
    • Python Numpy
    • Python Pandas
    • Python Matplotlib
    • Python Sckit, Sklearn and scipy
  • Data Analysis Pipeline
  • What is Data Extraction
  • Types of Data
    • Structred
    • Semi Structred
    • UnStructred
  • Raw and Processed Data
  • Data Wrangling
  • What is Machine Learning?
  • Machine Learning Process Flow
  • Data Pre-Processing
    • Introduction to Dimensionality
    • Why Dimensionality Reduction
    • PCA
    • Feature Scaling by different scaling methods
    • Data Scaling by different scaling methods
  • Supervised Learning
    • Classification Algorithms - Will work on Atleast 5 classification Models
    • Regression Algorithms - Will work on 5 Regression models which include DT,RF
  • Unsupervised Learning
    • What is Clustering & its Use Cases?
    • Clusterning Algorithms
  • Project Work