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

Yachi's profile, qualifications and contact details have been verified by our experts

Yachi

  • Rate RM39
  • Response 19h
  • Students

    Number of students accompanied by Yachi since their arrival at Superprof

    50+

    Number of students accompanied by Yachi since their arrival at Superprof

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

RM39/h

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  • 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, verified qualifications, a quick response time, and great reviews from 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

  • Primary
  • Secondary
  • SPM
  • +13
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Other

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All 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

  • RM39

Pack rates

  • 5h: RM195
  • 10h: RM389

online

  • RM39/h

Details

The mentioned charges are not applicable outside of India.

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