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6 Weeks Python with Machine Learning

Machine Learning with Python Summer Training Program: Empowering Intelligence, Transforming Solutions


Master Python's robust libraries like scikit-learn and TensorFlow, empowering you to craft intelligent solutions for real-world challenges. Join us and unlock the potential of Machine Learning with Python, transforming the way you perceive and solve problems.

Price:
9999
Duration: 50 hrs
Language:
Hinglish

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About the course

Machine Learning with Python Summer Training Program: Unlocking Intelligent Solutions


Our program is designed to provide a comprehensive understanding of machine learning concepts and techniques using Python. Dive into topics such as supervised and unsupervised learning, model evaluation, and deployment, and apply your knowledge through engaging hands-on projects in real-world scenarios.


Join Brain Mentors today and unleash the power of Machine Learning with Python. It's not just a training program; it's a gateway to limitless possibilities in the world of intelligent solutions.

What you'll learn

Fundamentals of Machine Learning

Data Preprocessing

Supervised Learning(linear regression, logistic regression, decision trees, and ensemble methods)

Unsupervised Learning(KMeans, DBSCAN, PCA)

Model Evaluation and Validation

Model Deployment

Industry Best Practices

Syllabus of the course

Life cycle of data science & setup Anaconda

Intro to Web crawling and API Calls

JSON API ,Fetch data from SQL

Convert into Data frame, Importance of maths

Reading files like CSV , EXCEL , JSON, and raw text

Intro to Data Analysis,intrro to Numpy

Python list vs Numpy array & diff. ways to create array

Intro to Pandas ,data analysis with pandas

Reading files like CSV , EXCEL and other with pandas

EDA(Exploratory Data Analysis)

Mesn, Median, Mode, Range, Variance & standard Deviation

Intro to Data Visualization

Intro to Matplotlib

Plot Histogram with Matplotlib

Intro to Seaborn

Intro to Sci-kit-Learn

Handle Missing data, Feature Scaling

Cross Validation

Intro to ML ,Flow of ML,Types of ML

Intro to ML ,Flow of ML,Types of ML

Diff b/w Supervised,Unsupervised & Reinforcement Learning &

Continuous and Categorical data

Regression: Linear and Logistic

KNN (K-Nearest Neighbour)

Intro to OpenCv(Face Detection and Recognition)

Naïve Bayes and K-Means

Decision Tree

Want to know about all Courses? Enroll in our course today and unlock your potential for a brighter future!

Check Your Eligibility

Our faculty are all professionally qualified and have rich industry experience, essential for giving a practical context to concepts
check your eligibility
  • Python Programming

  • Mathematics and Logic Skills

  • Linear Algebra

  • Statistics

Meet Our Expert Faculty

Our faculty are all professionally qualified and have rich industry experience, essential for giving a practical context to concepts
Khushi Thakur (Data Analyst & Instructor)
Khushi Thakur (Data Analyst & Instructor)

Sahil Kumar (Data Analyst & Lead Instructor)
Sahil Kumar (Data Analyst & Lead Instructor)

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Batches

Enroll today to start learning on your terms!

Ongoing batches list
MLPython/Summer/Alpha/0524

May 14th, 2024

Weekday Offline & Online Batch

MLPython/Summer/Beta/0524

May 28th, 2024

Weekday Offline & Online Batch

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Target Audience

This focuses on the benefits the audience can achieve by taking the course. (e.g., Unlock your potential using this course).

FAQ’s

The Machine Learning with Python summer training program at Brain Mentors covers a comprehensive range of topics to provide you with a thorough understanding of Machine Learning with Python. For a detailed syllabus, you can refer to the brochure or course outline available on our website.
To learn more about our Summer Training program, you can visit our website or contact us at 7042994524. We also offer information sessions and demo classes to give you a better understanding of the course.
Yes, Brain-Mentors offers online Machine Learning with Python courses for remote learning.
Yes, the course includes hands-on projects that simulate real-world scenarios, allowing you to build a strong portfolio of work to showcase your skills to potential employers.
Anyone interested in mastering machine learning techniques using Python can apply, including students and professionals in data science and analytics.
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