welcome to kieZen soft tech

Duration : 2-3 Month*
Eligibility : 10 + 2

Course Objective: To make our trainee expert in the following topics theoretically & practically.

  • Python Ecosystem
  • Methods for Machine Learning
  • Data Loading for ML Projects
  • Understanding Data with Statistics
  • Understanding Data with Visualization
  • Data Feature Selection
  • Logistic Regression
  • Support Vector Machine (SVM)
  • Decision Tree
  • Na├»ve Bayes
  • Random Forest
  • Random Forest
  • Linear Regression
  • K-means Algorithm
  • Mean Shift Algorithm
  • Hierarchical Clustering
  • Finding Nearest Neighbors
  • Performance Metrics
  • Automatic Workflows
  • Improving Performance of ML Models

Note- We train our trainee until they are satisfied.