Yachi - Computer science tutor - Gandhinagar
Yachi - Computer science tutor - Gandhinagar

Yachi's profile and contact details have been verified by our team

Yachi

  • Rate R162
  • Response 19h
  • Students

    Number of students Yachi has accompanied since joining Superprof

    50+

    Number of students Yachi has accompanied since joining Superprof

Yachi - Computer science tutor - Gandhinagar
  • 4.9 (6 reviews)

R162/h

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Unfortunately, this tutor is not available

  • Computer Science
  • Machine learning

Machine Learning | Supervised Unsupervised learning | Regression Algorithms | Neural Networks | Deep learning | Statistics for Data Science | Probablity | Pandas | Numpy | Keras | Seaborn | Matplotlib

  • Computer Science
  • Machine learning

Lesson location

Super Tutor

Yachi is one of our best Computer Science tutors. High-quality profile, qualifications verified, organised and responsive to lesson requests, and appreciated by their students.

About Yachi

Hey, I'm Yachi! I'm a master's student in Data Science at Illinois Institute, Chicago. With 4 years of experience in the computer field, I've clinched some impressive projects at hackathons. I secured a 9 CGPA in my B.Tech in Computer Science and have been a four-time AICTE scholar and a State Level Hackathon finalist. I'm here to simplify interviews and make them fun for you. Join me for a personalized session

Get ready for a personalized roadmap towards becoming good at ML.
#SuperprofTutors #DataDrivenSuccess #PythonLearning

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About the lesson

  • All levels
  • English

Languages in which the lesson is available :

English

Maths
Linear Algebra (Matrix, Vector)
Statistics
Probability

Learn Python & its Libraries
Numpy
Pandas

Learn ML Algorithms
Supervised vs Unsupervised vs Reinforcement
Linear Regression, Logistic Regression, Clustering
KNN (K Nearest Neighbours)
SVM (Support Vector Machine)
Decision Trees
Random Forests
Overfitting, Underfitting
Regularization, Gradient Descent, Slope
Confusion Matrix

Data Preprocessing (for higher accuracy)
Handling Null Values
Standardization
Handling Categorical Values
One-Hot Encoding
Feature Scaling

Learn ML libraries
Scikit learn
Matplotlib
Tensorflow for DL

Practice, Practice, Practice (Kaggle)

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Rates

Rate

  • R162

Package rates

  • 5h: R809
  • 10h: R1618

online

  • R162/h

Details

The mentioned charges are not applicable outside of India.

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