.jpg)
.png)
Students will get the certificate upon completion of the course
A Glimpse from the previous batch
Why this course:
Over the past decade, machine learning has developed into a well-defined discipline with clear goals that revolve around improving performance with experience. The field has strong experimental, theoretical, and applied arms, each with its own criteria for success. Most important, machine learning has substantially broadened its vision to incorporate a wide range of methods, some having their origins in AI but others coming from pattern recognition and statistics. A central goal of artificial intelligence has long been to construct a complete intelligent agent that can perceive its environment, generate plans, execute those plans, and communicate with other agents. An intelligent agent must do more than perceive its surroundings and plan its actions; it must also execute those actions in the world.
Software: Anaconda Navigator Latest (IDE) version
Why Machine Learning with Skyy RIder?
Skyy Rider offeres best in class Machine Learning with Python Training in a complete live & hands-on pedagogy which makes a students industry ready. The python programming language is delivered by professionals who have worked in various program Industry.
⇒ This program can help in preparing a students for Higher study
⇒ Students can learn and start their own start-up in Machine Learning
⇒ Students who are aspiring to be in Machine learning Job
COURSE CONTENT
1st Week
Python Environment Concepts
1. Jupyter Note Book – Spyder Overview
2. JYNB Working Environment
3. Structure of jpynb
4. Saving/Loading Notebook
5. Edit Cells /View Cells /Insert Cells
6. Keyboard Shortcuts /Magic Commands
7.Execute Cells /Kernel Cells /Widgets / Markdown
Core Python Programming
8. Elementary Programming with simple examples
9. Mathematical Functions, Strings, and Objects
10. Loops with programming
11. Functions & Class functions generation
12. Import functions & generate user define import functions
2nd Week
Advanced Python Programming
13. Data structures [List, Tuple, Set, Frozen set, and Dictionary]
14. Build in Functions & Lambda Functions
15. Packages, Modules
16. Math, OS, Random, Statistics, Sys, other Modules
17. Create UDM (User Defined Modules)
Data Analysis with Packages & explain cheat sheets
18. Numpy
19. Scipy
20. Pandas
21. Seaborn
22. Bokeh
3rd Week
Overview of Machine learning
23. Introduction to types of Machine Learning
24. Introductions to Supervised Learning
25. Introductions to Unsupervised Learning
26. Introduction to Reinforcement learning
27. Introduction to ML with Pipelines – Automatic Workflows
28. Introductions to Improving Performance of ML Models
29. Performance Improvements with Algorithm Tuning_1
30. Performance Improvements with Algorithm Tuning_2
Types of Data Analysis
31. Descriptive Analyses
32. Exploratory Data Analysis
33. Predictive Analysis
34. Inferential Analysis
Data Visualization with Matplotlib
35. Working with Pyplot
36 Lines, Bar, Pie, Scatter, Histogram, Box, Violin Plots
4th Week
Algorithms Implementation
37. Algorithm_1 Linear regressions.
38. Algorithm_2 logistic regressions.
39.Algorithm_3 Decision tree.
40. Algorithm_4 Support Vector Machine (SVM)
41. Algorithm_5 Naive Bayes)
42. Algorithm_6 KNN algorithm.
43. Algorithm_7 K-means
44. Algorithm_8 Random forest algorithm.
Industry Based Project
45. My first project in ML
46. Case study Industry Project and Implementation with analysis
47. project Viva Sessions
→ Total 50 Seats Per batch
→ Students need to pay the course fees and fill the registration form to enroll themself.
→ Go to the enrolment section to register for the program.
→ After completion of all the processes, students will receive an intimation from our team regarding their batch details.
→ 10% OFF on course fees for 5 students enrolling together. Contact us for the Payment link.
FAQs:
→ Duration of class: Offline courses Upto 2:00 hours Daily after 6:00 PM IST.
→ Best For: Working Professionals in IT Sector, Building a great profile for Higher Study
→ LOR- Yes students can apply for LOR
→ Students or Professional: Both can join
→ Discount: Group enrolment discount available for a group of students of 5 or more.
→ Special batch Commencement: For a group of 40 students from the same college we can arrange a special batch as per their convenience.
→ Certificates: Participants will get a completion certificate from Gram Tarang (Partner of NSDC) & Skyy Rider
→ Project Certificate: Yes students will get a project certificate after the course
10% further discount for group registration available. Click below to get the discounted link.
To reach every student, we are constantly developing & expanding our business processes.
1: 3rd floor, Sreshta Marvel, Sy.No.136, Kondapur Main Road, Gachibowli, Hyderabad 500032
2: Awfis, 1st floor, SRB Towers, E-12, Infocity, Patia Bhubaneswar 751024
GRIET College, Nizampet Road, Bachupally, Kukatpally, Hyderabad- 500090
CUTM, Village Alluri Nagar, R.Sitapur, Jatni, Bhubaneswar, Odisha 761211
Government Polytechnic, Rail Vihar, Chandrasekharpur, Bhubaneswar, Odisha 751013
