Stock Market Data Analysis and Visualization
You will be given a scenario in which you will work as a data scientist for a stock forecasting company. With this data, you will have to perform data visualization and analysis on…
Computer Science · Course
Introduction to Machine Learning Algorithms and their Implementation in Python
Arm yourself with the new age technologies to keep yourself ahead of the competition with the Machine Learning Python course. Our experts have curated the curriculum to teach you all the data analysis and visualisation methods. Enrol in the Python for Machine Learning course and advance your career.
- Duration
- 12 weeks
- Content
- 40 hours
- Projects
- 2
- Mode
- Online
OverviewWhat you'll
What you'll
be able to do.
Python is a robust programming language used in the development of machine learning algorithms. For any data scientist or expert in this field, knowledge on Python libraries is of the essence to analyze, infer, and make predictions about future data trends. As Python gains more traction in the industry, engineers and data scientists must be exposed and up-to-date with modern standards.
By taking this course, you will learn about the basics of data science, and the implementation of Python to develop machine learning algorithms. This course will give you a solid understanding of the essential Python libraries, evaluation metrics, univariate and multivariate linear regression, K-Mean clustering, hierarchical clustering, and neural networks.
Throughout this course, you will have numerous opportunities to exercise your understanding by completing challenges and projects that require extensive analysis of data sets. You will get the foundation needed to work in the data science, machine learning, or related fields.
Tools you'll use
Python
Curriculum12 modules,
Get the full syllabus ↓12 modules,
built with industry.
01Introduction to Machine Learning Algorithms and their Implementation in Python
- Introduction to Data Science and Programming Languages (Tools) for Data ScienceW01
This week will cover
- Data Science and Big Data: Introduction
- Importance of Data Science and Big Data
- Introduction to Different Programming Languages (Tools) for Data Science
- Basics of ProgrammingW02
This week will cover
- Variables
- Operators
- Data Types
- Data Structures
- Control Structures in Python
- Function File in Python
- Essential Python LibrariesW03
This week will cover
- NumPy
- SciPy
- Pandas
- Matplotlib
- Seaborn
- Introduction to Machine Learning Cross-Validation, Bias-Variance TradeoffW04
This week will cover
- Basics of Machine Learning
- Classification
- Fitting of Model with Cross-Validation
- Bias Variance Tradeoff
- Evaluation MetricsW05
This week will cover
- Evaluation Metrics for Model Validation
- Importing Data and Hands-On Imported DataW06
This week will cover
- Exploratory Data Analysis (EDA)
- Correlation
- Feature Extraction
- Hyper Parameters
- Univariate and Multivariate Linear RegressionW07
This week will cover
- Univariate Linear Regression
- Multivariate Linear Regression
- Implementation in Python
- Principal Component AnalysisW08
This week will cover
- Eigen Values
- Eigen Vectors
- Singular Value Decomposition
- Principal Component Analysis (PCA)
- Logistic Regression and k-nearest NeighborW09
This week will cover
- Explanation and Implementation of Logistic Regression and k-nearest Neighbor in Python
- Decision Tree and Random ForestW10
This week will cover
- Explanation and Implementation in Python
- Decision Tree
- Random Forest
- K-Mean and Hierarchical ClusteringW11
This week will cover
- K-Mean
- Hierarchical Clustering
- Neural NetworksW12
This week will cover
- Logistic Regression with Neural Network Mindset
- Introduction to Data Science and Programming Languages (Tools) for Data ScienceW01
Industry projects2 projects
2 projects
you'll ship.
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
Developing an Early Warning System with Given Data
In this project, you are expected to develop an Early Warning System (EWS) to predict the likely rejection of products manufactured by a company using the given data.
FeeOne fee.
One fee.
Everything included.
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
Premium
₹40,000
Inclusive of all charges- 1 Year Access
- Personalized Page
- Live Individual & Group Sessions
- Personalized & Hands-On
- Job-Oriented Industry Relevant Curriculum
FAQQuestions,
Questions,
answered.
Why should you enrol in this machine learning certification course?
The machine learning industry is growing at 44% a year, and there is a shortage of qualified professionals. There are highly-paid jobs for professionals who complete this course.
What will I learn in this course?
Some of the key topics covered in this course are the basics of programming, evaluation metrics, and essential python libraries.
What is the duration of the course?
The duration of the course is normally three months.
What are the benefits of this course?
This is one of the best machine learning certification courses because the course curriculum strictly adheres to industry standards. By knowing machine learning in electrical engineering you will be able to build robust algorithms. After completing the python for machine learning course you will become eligible for a course completion certificate, which you can showcase in your professional portfolio.
What are the top companies hiring machine learning engineers in India?
Top companies like Amazon, Facebook, Flipkart, and others need machine learners and similar professionals.
Who is eligible for this certification course for electrical engineers ?
This python for machine learning course is ideal for students with knowledge of statistics and programming. You should be eager to learn machine learning and look for a career in it.
How much salary can I expect after completing the python and machine learning course ?
You can expect an average salary of Rs. 7.10 lacs to 7.94 lacs per annum.
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Next stepNot sure it's
Not sure it's
the right fit?
A counsellor will walk you through the syllabus, projects and fee options — and tell you honestly if another course suits you better.