Machine Learning for Engineers using Python
Get a 1-on-1 demo to understand what is included in the course and how it can benefit you from an experienced sales consultant. The demo session will help you enroll in this course with a clear vision and confidence.
Request a Demo Session
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 1
Highlights
“EarlySalary” a stock forecasting company has employed you as a Data Scientist. As a first job, the manager has provided you with stock market data and asked you to check the quality of data. There are two files “Stock_File_1.csv” and “Stock_File_2.txt”. Some details of the data shared with you are
(a) The data set consists of six variables namely-date, Open, High, Low, Close, Volume
(b) The stock market opens at 9:15 am and closes at 3:30 pm.
Each stock is defined by an opening price and closing price i.e. the price at which it open and the price at which it closes. During operating regime, the stock prices touches maximum and minimum price. You have an access to tens years of monthly stock price data with the open, high, low, close and the volume that signifies the number of stocks traded. On some day there is no trading, the open, high, low, close remains constant and the volume is zero. Now, you go to your manager after data visualization and exploratory analysis and model building (do not build a model, assume you built it for sake), your manager says the model predictions are poor as the data is polluted (reported by manager that that instant). Now try to impress your boss by doing some data preprocessing. Assume that you fill missing values by mean of the data corresponding to each feature. Remenber: please merge the data before preprocessing. You can use pandas.concat (read) to merge your data
Project 2
Highlights
“Sandman” is willing to do some manufacturing analytics for their manufacturing plant.
Description: The datasets consists of 13 variables and 388 samples. The table below gives the description of the data
SSandman corporation continuously looks to improve its manufacturing quality. Sandman monitors quality of input materials (physical and chemical properties) on a daily basis. Also, it monitors quality of output material for every batch and output rejection rates are available on daily basis. Sandman wishes to develop a early warning system (EWS) to predict likely rejection for the new day, given the input quality for that day. They hired you to develop EWS. Put all the knowledge gathered in the course to achieve your objective.
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.
Choose the plan that’s right for you
2 Months Access
4 Months Access
Lifetime Access
The courses at Skill-Lync are designed to focus on the core fundamentals and their implementation in industry-oriented projects. These courses are designed by industry experts who understand the job market.
Design Engineer @ Openso Engineering
Skill-Lync provided me with constant support and guidance and gave me an opportunity to explore new tangents in my field.
Trainee Engineer @ Equilibrium Solutions Pvt. Ltd.
Excellent institute in providing quality industry oriented courses.
Graduate Engineering Trainee @ EASI Engineering Services Pvt. Ltd.
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.
Graduate Engineering Trainee @ Satyam-Venture Engineering Services Pvt Ltd
Thank you Skill-Lync, I got two job offers - one from SATVEN, another from EASi. Thanks to the many interviews that Skill-Lync sent my way.
Graduate Engineering Trainee @ EASI Engineering Services Pvt. Ltd.
Master's Certification in BIW Fixture & Plastic Design
Design Trainee @ Dopag India Pvt Ltd
CAE Master's Certification Program
CAE Engineer @ Stiger EV
Master's Certification Program in Hybrid Electric Vehicle Design and Analysis
Design Engineer @ Boraste Agro Implements & Allied Industry
Post Graduate Certification in Hybrid Electric Vehicle Design & Analysis
FEA Engineer @ Quest Global
Post Graduate Certification in Hybrid Electric Vehicle Design & Analysis
Engineer @ UI Bridge Solutions
Post Graduate Certification in Hybrid Electric Vehicle Design & Analysis
Associate Project Engineer @ Detroit Engineered Products
Master's Certification Program in Hybrid Electric Vehicle Design and Analysis
Engineer @ UI Bridge Solutions
Post Graduate Certification in Hybrid Electric Vehicle Design & Analysis
Matlab Engineer @ Altran (Capgemini Engineering)
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
Skill-Lync offers industry relevent advanced engineering courses for engineering students by partnering with industry experts.
