Introduction to Machine Learning Algorithms and their Implementation in Python in Hyderabad
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Syllabus
This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
Course Overview
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.
Course Syllabus in Hyderabad
On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.
Week 1 - Introduction to Data Science and Programming Languages (Tools) for Data Science
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
Week 2 - Basics of Programming
This week will cover
- Variables
- Operators
- Data Types
- Data Structures
- Control Structures in Python
- Function File in Python
Week 3 - Essential Python Libraries
This week will cover
- NumPy
- SciPy
- Pandas
- Matplotlib
- Seaborn
Week 4 - Introduction to Machine Learning Cross-Validation, Bias-Variance Tradeoff
This week will cover
- Basics of Machine Learning
- Classification
- Fitting of Model with Cross-Validation
- Bias Variance Tradeoff
Week 5 - Evaluation Metrics
This week will cover
- Evaluation Metrics for Model Validation
Week 6 - Importing Data and Hands-On Imported Data
This week will cover
- Exploratory Data Analysis (EDA)
- Correlation
- Feature Extraction
- Hyper Parameters
Week 7 - Univariate and Multivariate Linear Regression
This week will cover
- Univariate Linear Regression
- Multivariate Linear Regression
- Implementation in Python
Week 8 - Principal Component Analysis
This week will cover
- Eigen Values
- Eigen Vectors
- Singular Value Decomposition
- Principal Component Analysis (PCA)
Week 9 - Logistic Regression and k-nearest Neighbor
This week will cover
- Explanation and Implementation of Logistic Regression and k-nearest Neighbor in Python
Week 10 - Decision Tree and Random Forest
This week will cover
- Explanation and Implementation in Python
- Decision Tree
- Random Forest
Week 11 - K-Mean and Hierarchical Clustering
This week will cover
- K-Mean
- Hierarchical Clustering
Week 12 - Neural Networks
This week will cover
- Logistic Regression with Neural Network Mindset
Our courses have been designed by industry experts to help students achieve their dream careers
Industry Projects in Hyderabad
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.
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 the stock market data.
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.
Our courses have been designed by industry experts to help students achieve their dream careers
Ratings & Reviews by Learners
Skill-Lync has received honest feedback from our learners around the globe.
Flexible Pricing
Talk to our career counsellors to get flexible payment options.
INR 40,000
Inclusive of all charges
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
1 Year Accessto Skill-Lync’s Learning Management System (LMS)
Personalized Pageto showcase Projects & Certifications
Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.
Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.
Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.
Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
14 years in the experience range
Instructors with 14 years extensive industry experience.
Areas of expertise
- Electric vehicles
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