Key Features
Machine Learning with Python Course Content
- Environment Setup
- Python Variable
- Python Operator
- Python Decision
- Control Statement
- Python Function & Module
- Python Strings
- Python File handling
- Data Structure
- 1.List
- 2.Tuple
- 3.Dictionary
- Introduction
- Getting Started with Anaconda and Jupyter
- Python for Data Analysis - Numpy
- Python for Data Analysis - Pandas
- Python for Data Visualization - Matplotlib
- Python for Data Visualization - Seaborn
- Train Your Machine - Scikit-Learn
- Linear Regression
- Logistic Regression
- Gradient Descent
- Cost and Loss
- Bias and Variance
- Data Prepossessing : Label Encoder , Standard Scalar
- k-Nearest Neighbors (AI Concept and Implementation )
- Support Vector Machine (AI Concept and Implementation)
- Decision Tree (AI Concept and Implementation )
- Random Forest (AI Concept and Implementation )
- Cross Validation
- Hyper Parameter Tuning
- Over Fitting and Under-fitting
- K-MEAN Clustering (AI Concept and Implementation)
Projects
- To test your knowledge on Machine Learning with Python Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in Machine Learning with Python Training concepts.
- These projects are completely in-line with the modules mentioned in the curriculum.
Machine Learning with Python Training Online - Upcoming Events
10 Mar, 2021 - 25 Mar, 2021
13 Mar, 2021 - 17 Apr, 2021
14 Mar, 2021 - 13 Apr, 2021
17 Mar, 2021 - 01 Apr, 2021
20 Mar, 2021 - 24 Apr, 2021
21 Mar, 2021 - 20 Apr, 2021
Machine Learning with Python Online Training Objectives
In this course, you will learn about the major concepts of Machine Learning with Python:
- Fundamentals of machine learning
- K means clustering
- Logistic regression
- Decision trees
- Descriptive statistics
- Advanced supervised learning
- According to a recent survey by Gartner, there is a huge requirement for Data science and ML engineers across the world.
- On average, a Machine Learning Engineer having Python skills earns around $109,960 per annum.
The following job roles will get benefited from taking up this course:
- Data Analysts
- Developers
- Data Architects
- Aspirants willing to learn data analysis.
The prerequisites for learning this course are listed below:
Basic knowledge of,
- Python programming
- Fundamentals of data analysis
- Statistics
- Mathematics
The aspirants will gain knowledge of the following:
- Data structures and algorithms present in Numpy, Pandas, and Scipy for data modeling and analysis.
- Creating classifiers, clusters, data grouping, and performing scientific analysis using Pandas
- Reducing dimensions, and selecting accurate data models
- Using analytics libraries with HIVE, PIG, and Hadoop MapReduce
Machine Learning with Python Certification
Our Machine Learning with Python course covers all the topics that are required to clear Machine Learning with Python certification. Trainer will share Machine Learning with Python certification guide, Machine Learning with Python certification sample questions, Machine Learning with Python certification practice questions.
Our Course in Comparison
Features
- Demos at Convenient Time?
- 1-1 Training
- Batch Start Dates
- Customize Course Content
- EMI Option
- Mock Interviews after Training
- Group Discounts
Mindmajix
- At your Convenience
Others
- Fixed
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Machine Learning with Python Certification Training Course - FAQ's
Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
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