Machine Learning with Python Training

Programming has the power to bring algorithms to life. Of most programming languages, Python is the utmost powerful and robust programming language that empowers programmers to develop engaging website interfaces and applications. Emerging from the wide applications, Python's web development capability supports the creation of engaging, dynamic and responsive websites. Here at Brillica services you will get the Best Project based Training on Machine Learning with Python in Dehradun and Uttarakhand.

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Pro-Python Tips & Tricks Practice Activities
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning


An individual aspiring for in-depth knowledge in Machine learning using power-packed programming is expected to possess:
1.Basic programming knowledge is necessary
2.Good understanding of mathematical concepts

Course Content

  • Basics of Python Syntax, Conditional/Loop statements
  • Data Structures, List, Tuple, Dictionary
  • Creating Functions and Classes in Python
  • Exception Handling
  • Using Modules in python
  • Database Connectivity, SQL (SQLite), No-SQL (Firebase Realtime Database)
  • Introduction to HTML, CSS and Web scrapping
  • File Handling. Library, Tkinter, BeautifulSoup, Requests, SQLite, Firebase
  • Creating/Converting your data into Pandas Data Frame, Series
  • Filtering and Sorting.
  • Applying, Grouping and Statistical Analysis
  • Data Visualization.
  • Regular Expression for Data Analysis.
  • Time Series Analysis using ARIMA Model.

Course Description

Machine learning using python is a comprehensive training course that helps you take a deep dive into machine learning basics and understand how Python programming language integrates to the core. The machine learning course with python is focused on delivering best-in-class learning on statistical modelling, regression and clustering algorithms and have an in-depth understanding of the interoperability between Python and machine learning and the magical applications it can create.

Brillica services is a prominent leader in offering you an opportunity to transform your theoretical knowledge on machine learning and python, into the much preferred and job-oriented practical skill

through multiple projects included in machine learning using python and certification course. Our certified and seasoned instructors work to build a solid foundation on developing algorithms, creating functions, exception handling, data analysis etc.

Our diverse training delivery modes of machine learning using python course, offered in custom schedules, help corporate and individual learners find a best-fit learning solution mapping their career and training goals.

Course Objectives

Machine Learning Course in Dehradun & Uttarakhand with Python at Brillica Services Helps You to :

Using Python for Data Analysis and Machine Learning

Implementing Machine Learning algorithms

Using Matplotlib for Python Plotting

Learning the implication of Seaborn for statistical plots

Comprehending interactive dynamic visualizations

Using SciKit-Learn for Machine Learning Tasks

AI Debugging & Testing

Working with K-Means Clustering

Basics of Logistic and Linear Regression

Practically working on Random Forest and Decision Trees

Natural Language Processing and functioning on Spam Filters

Working with Neural Networks

Supporting Vector Machines

Machine Learning Training Schedule and Duration

Course Name Duration
Machine Learning 60 hours

Upcoming Training Schedule

Month Weekdays Weekends Mode
December-2021 13/12/21 and 257/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2021 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day
March-2022 07/03/22 and 21/03/22
2 hours(Monday-Thursday) per day
27/03/22 and 28/03/22
3 hours(Saturday-Sunday) per day
April-2022 04/04/22 and 18/04/22
2 hours(Monday-Thursday) per day
24/04/22 and 25/04/22
3 hours(Saturday-Sunday) per day

FAQs Machine Learning Course in Dehradun & Uttarakhand

Ans. In reality, machine learning is about setting systems to the task of searching through data to look for patterns and adjusting actions accordingly.

Ans. Introduction To Machine Learning using Python. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data

Ans. First, you need Python installed. It is an industrial-strength Python implementation for Linux, OSX, and Windows, complete with the required packages for machine learning, including NumPy, sci-kit-learn, and matplotlib. It also includes iPython Notebook, an interactive environment for many of our tutorials.

Ans. Python offers concise and readable code. While complex algorithms and versatile workflows stand behind machine learning and AI, Python's simplicity allows developers to write reliable systems. Developers get to put all their effort into solving an ML problem instead of focusing on the technical nuances of the language.

Ans. 1. Download and install Python SciPy and get the most useful package for machine learning in Python. 2. Load a dataset and understand its structure using statistical summaries and data visualization.

Ans. The main three types of Machine Learning algorithms- Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

Ans. 1 - Data Collection.
2 - Data Preparation.
3 - Choose a Model.
4 - Train the Model.
5 - Evaluate the Model.
6 - Parameter Tuning.
7 - Make Predictions.

Ans. 1. Introduction
2. Table of Content
3. Not enough training data
4. Poor Quality of data
5. Irrelevant Features
6. Nonrepresentative training data
7. Overfitting and Underfitting
8. Conclusion.

Ans. Their principles underscore fairness, transparency and explainability, human-centeredness, and privacy and security..

Ans. Yes, machine learning is a good career path. According to a 2019 report by Indeed, Machine Learning Engineer is the top job in terms of salary, growth of postings, and general demand. Part of the reason these positions are so lucrative is because people with machine learning skills are in high demand and low supply.

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