Machine Learning using Python : Learn Hands-On

Course

Online

£ 3 + VAT

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Learn to use Python, the ideal programming language for Machine Learning, with this comprehensive course from Hands-On System. Python plays a important role in the adoption of Machine Learning (ML) in the business environment.Now a day’s Machine Learning is one of the most sought after skills in industry. After completion of this course students will understand and apply the concepts of machine learning and applied statistics for real world problems.The topics we will be covering in this course are: Python libraries for data manipulation and visualization such as numpy, matplotlib and pandas. Linear Algebra, Exploratory Data Analysis, Linear Regression, Various Classification techniques, Clustering, Dimensionality reduction and Artificial Neural Networks.This course is designed for Students who are pursuing bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Economics or any engineering fields. The students should have a little bit of knowledge in coding and undergraduate level mathematics.Terminal competencies of the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a Hands-On learning experience which would prepare them to create applications efficiently.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Linear Regression, SVR, Decision Tree Regression, Random Forest Regression
Polynomial Regression
Logistic Regression
K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification
Random Forest Classification
Clustering: K-Means, Hierarchical Clustering
Data Visualization in Python with MatPlotLib and Seaborn
Dimensionality Reduction: PCA, PCA sklearn
Supervised Learning & Unsupervised Learning
Support Vector Machine
Curse of Dimensionality
Neural Networks

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Probability
  • GCSE Mathematics
  • Mathematics
  • Statistics
  • Algorithms
  • Data analysis
  • Installation
  • Networks

Course programme

Introduction 7 lectures 01:09:58 Prospects of Machine Learning preview Introduction to Machine Learning preview Course Curriculum preview Installation of jupyter notebook Python package Numpy for numerical computation Python package matplotlib for visualization Python package pandas for input and output Introduction 7 lectures 01:09:58 Prospects of Machine Learning preview Introduction to Machine Learning preview Course Curriculum preview Installation of jupyter notebook Python package Numpy for numerical computation Python package matplotlib for visualization Python package pandas for input and output Prospects of Machine Learning preview Prospects of Machine Learning preview Prospects of Machine Learning preview Prospects of Machine Learning preview Introduction to Machine Learning preview Introduction to Machine Learning preview Introduction to Machine Learning preview Introduction to Machine Learning preview Course Curriculum preview Course Curriculum preview Course Curriculum preview Course Curriculum preview Installation of jupyter notebook Installation of jupyter notebook Installation of jupyter notebook Installation of jupyter notebook Python package Numpy for numerical computation Python package Numpy for numerical computation Python package Numpy for numerical computation Python package Numpy for numerical computation Python package matplotlib for visualization Python package matplotlib for visualization Python package matplotlib for visualization Python package matplotlib for visualization Python package pandas for input and output Python package pandas for input and output Python package pandas for input and output Python package pandas for input and output Statistics and Exploratory Data Analysis 7 lectures 59:34 Brief introduction to Probability and Statistics Understanding different types of data Examining distribution of the variables Concept of Box Plot Examining relationship among variables Concept of Co-variance and Correlation Exploratory data analysis using python preview Statistics and Exploratory Data Analysis 7 lectures 59:34 Brief introduction to Probability and Statistics Understanding different types of data Examining distribution of the variables Concept of Box Plot Examining relationship among variables Concept of Co-variance and Correlation Exploratory data analysis using python preview Brief introduction to Probability and Statistics Brief introduction to Probability and Statistics Brief introduction to Probability and Statistics Brief introduction to Probability and Statistics Understanding different types of data Understanding different types of data Understanding different types of data Understanding different types of data Examining distribution of the variables Examining distribution of the variables Examining distribution of the variables Examining distribution of the variables Concept of Box Plot Concept of Box Plot Concept of Box Plot Concept of Box Plot Examining relationship among variables Examining relationship among variables Examining relationship among variables Examining relationship among variables Concept of Co-variance and Correlation Concept of Co-variance and Correlation Concept of Co-variance and Correlation Concept of Co-variance and Correlation Exploratory data analysis using python preview Exploratory data analysis using python preview Exploratory data analysis using python preview Exploratory data analysis using python preview Regression analysis 7 lectures 01:01:28 Linear Regression on bi-variate data Python implementation of linear regression with bi-variate data Multivariate regression Python implementation of Gradient descent update rule for regression Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Python implementation of linear regression with multivariate data in sklearn Python implementation of Polynomial Regression Regression analysis 7 lectures 01:01:28 Linear Regression on bi-variate data Python implementation of linear regression with bi-variate data Multivariate regression Python implementation of Gradient descent update rule for regression Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Python implementation of linear regression with multivariate data in sklearn Python implementation of Polynomial Regression Linear Regression on bi-variate data Linear Regression on bi-variate data Linear Regression on bi-variate data Linear Regression on bi-variate data Python implementation of linear regression with bi-variate data Python implementation of linear regression with bi-variate data Python implementation of linear regression with bi-variate data Python implementation of linear regression with bi-variate data Multivariate regression Multivariate regression Multivariate regression Multivariate regression Python implementation of Gradient descent update rule for regression Python implementation of Gradient descent update rule for regression Python implementation of Gradient descent update rule for regression Python implementation of Gradient descent update rule for regression Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Advanced Topics: Normal Equation, Polynomial Regression and R-sq score Python implementation of linear regression with multivariate data in sklearn Python implementation of linear regression with multivariate data in sklearn Python implementation of linear regression with multivariate data in sklearn Python implementation of linear regression with multivariate data in sklearn Python implementation of Polynomial Regression Python implementation of Polynomial Regression Python implementation of Polynomial Regression Python implementation of Polynomial Regression Logistic Regression Analysis 4 lectures 43:45 Classification problem and Classifier. Metrics for classification. Regression on Binary classification and multi-class classification problem Python program on GD update rule for logistic regression Python implementation of LR with binary and multiclass classification problem Logistic Regression Analysis. 4 lectures 43:45 Classification problem and Classifier. Metrics for classification ...

Additional information

Basic knowledge in math and statistics

Machine Learning using Python : Learn Hands-On

£ 3 + VAT