Machine Learning with Python and R

Training Mode: offline


Short Description:
With SpringPeople’s AI python course, you increase an inside and out comprehension of the three significant sorts of AI calculations, including managed, solo, and support learning. Get familiar with the different strategies for actualizing these calculations with related business use cases. You will likewise learn propelled points of ML, for example, Natural Language Processing (NLP) and Deep Learning in our AI with python preparing

Course Outline
  • Introduction to Machine Learning
    • What is ML?
    • Applications of ML
    • Why ML is the Future
    • Types of ML
    • Installing Python and Anaconda (MAC & Windows)
  • Data Preprocessing
    • Importing the Libraries
    • Importing the Dataset
    • For Python learners, summary of Object-oriented programming: classes & objects
    • Missing Data
    • Categorical Data
    • Splitting the Dataset into the Training set and Test set
    • Feature Scaling
  • Regression
    • Simple Linear Regression
    • Dataset + Business Problem Description
    • Simple Linear Regression in Python
    • Multiple Linear Regression
    • Multiple Linear Regression in Python
    • Polynomial Regression
    • Polynomial Regression in Python
    • Support Vector Regression (SVR)
    • SVR in Python
    • Decision Tree Regression in Python
    • Random Forest Regression in Python
  • Classification
    • Logistic Regression in Python
    • K-Nearest Neighbors (K-NN)
    • Support Vector Machine (SVM)
    • Kernel SVM
    • Naive Bayes
    • Decision Tree Classification
    • Random Forest Classification
    • Confusion Matrix
    • CAP Curve
  • Clustering
    • K-Means Clustering in Python
    • Hierarchical Clustering in Python
  • Association Rule Learning
    • Association Rule Learning in Python
    • Apriori
  • Reinforcement Learning
    • Upper Confidence Bound (UCB)
    • Thompson Sampling
  • Natural Language Processing
    • Natural Language Processing in Python
  • Deep Learning
    • Artificial Neural Networks in Python
    • Convolutional Neural Networks in Python

As per your requirement course we wil schedule the timings.Our support is 24×7. The one solution to beat hectic schedule and travelling time and achieve these goals is by joining online courses. Most experienced and specialized instructors are going to be assigned to you.

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