Gain expertise with 25+ hands-on exercises

4 real-life industry projects with integrated labs

Dedicated mentoring sessions from industry experts


44 hours of instructor-led training with certification

Classroom Training

✔ Classroom training is considered the most effective form of learning.
✔ Develops important personality and career building skills.
✔ Technology-Based Learning. Common methods of learning via technology include.

Campus Training

✔ Online assessment program during campus placement.
✔ Campus learning is a premium option for campus instruction
✔ 24*7 learning assistance and support

Corporate House Training

✔ Flexible pricing options
✔ Enterprise grade Learning Management System (LMS)
✔ Enterprise dashboards for individuals and teams
✔ 24×7 learner assistance and support

Interactive Workshop

✔ A workshop is a great way for someone to learn about a particular subject.
✔ Workshop are usually longer often 1 to 2 days
✔ Seminars are usually 90 minutes to 3 hours
✔ A training workshop is a type of interactive training

Online Training

✔ Online training is effective for training across multiple locations.
✔ 24×7 learner assistance and support.
✔ Amirit Techservices online course platform is one of the most well-known sources of education via the internet.

Machine Learning

 

1. Introduction Topics

• Machine Learning.
• Data Mining.
• Deep Learning.
• Artificial Intelligence
• Descriptive Analysis.
• Predictive Analysis.

2.Python

3. NumPy

4. Pandas

  • Pandas Basics
    • Object Creation
    • Viewing Data
    • Selection
    • Missing Data
    • Operations
    • Merge
    • Grouping
    • Reshaping
    • Time Series
    • Plotting
    • Getting Data In/Out
  • Intro to Data Structures
    • Series
    • DataFrame
    • Panel
    • Deprecate Panel

5. Matplotlib

6. Data Preprocessing and Data Analysis

7. Statistics

  • Descriptive Statistics.
    • Mean, Median, Mode, Variance etc
  • Inferential Statistics.
    • Linear Regression.
    • Binomial Distribution.
    • Normal Distribution.
    • Chi-Squared Test
    • Probability.
    • Permutation and Combination.
    • Least Square etc

9. Machine Learning

10. Source Code

1. How do I become a Machine Learning expert?

2. Do you provide any practice tests as part of this course?

3. Is machine learning hard to learn?

1. What is Machine Learning?

2. Do I need to know machine learning to learn deep learning?

3. Is Python necessary for machine learning?

4. Why is Python so good for machine learning?