Machine Learning for Electrical Engineers using Python
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Introduction about data science and big data and its importance and will introduce about various programming languages (tools) used for data science.
Explanation about variables, operators, data types, data structure, control structure in Python, Function file in Python
Include Numpy, Scipy, Pandas, Matplotlib, Seaborn, etc.
This module will include basics of machine learning and its classification and include fitting of model with cross validation and bias variance trade off.
Evaluation metrics for model validation
EDA/ correlation/ feature extraction/ hyper parameters
This module will introduce univariate and multivariate linear regression and will explain how it can be implemented in Python
Explanation about Eigen values and Eigen vectors and singular value decomposition and then PCA
Explanation and implementation of logistic regression and k-nearest neighbor in Python
Explanation and implementation of Decision tree and Random forest in Python
Clustering of data using clustering algorithm
Explanation of logistic regression with neural network mindsets
Project 2
The software that will be used as a part of this course is Python and a compiler for Python, sublime text. Python finds widespread use in the industries, ranging from data analysis for simulations to automation where mundane tasks can be automated to save time.
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Skill-Lync offers industry-oriented programs. The support team cleared all my doubts in a timely manner and ensured that I understood the problem areas. Tool tests & mock interviews conducted by the student success team simulated real-world experience and helped me clear my interviews with ease.
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Any enthusiastic student with some knowledge of statistics and programming and who is willing to learn machine learning and build career in it.
Complete overview of the machine learning and its application
I am teaching Python, which is freeware and are most widely used in industries to solve machine learning problems.
Now a days, data is the fuel for everything. To extract meaningful insights from data, tools developed in Python will assist the participants to achieve this goal.
As there are almost too many companies that uses data science and machine learning to extract meaningful insight from data, therefore, it is very difficult to name such companies. Some of the field where data science and machine learning are used include hospital, pharma companies, manufacturing and process plants, etc.
If you are looking to do your MS or PhD in data science field, then absolutely this course is meant for you.
Since, data scientists, data engineer and data analyst are in demand in 20th century. There is huge scope that you will land up in high paying job after learning this course.
A dedicated 2 hours of time is more than enough to understand the concepts, noting the concepts down and performing the challenges.
Learn industry-relevant skills from technical experts
All of our courses are mapped to specific job functions in the market
Work on projects, publish to your profile and get hired in top companies
In the past 12 months, we have placed 200+ students, helped students get over USD 500,000 in scholarships
Get access to highly-dedicated technical and customer support teams
Once you are part of Skill-Lync, you can keep learning relevant skills through LIVE webinars and workshops
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