Amit - Software tutor - Brampton
Amit - Software tutor - Brampton

Amit's profile, diploma and contact details have been verified by our experts

Amit

  • Rate 380 BWP
  • Response 1h
  • Students

    Number of students Amit has accompanied since arriving at Superprof

    5

    Number of students Amit has accompanied since arriving at Superprof

Amit - Software tutor - Brampton
  • 5 (3 reviews)

380 BWP/hr

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  • Software
  • Machine learning
  • Coding

8+ years experienced software developer teaching Machine Learning, Deep Learning and AI basics

  • Software
  • Machine learning
  • Coding

Lesson location

Recommended

Amit is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Amit

I am Senior software engineer and have worked in several Fortune 500 companies for over 8 years. I have in-depth knowledge about almost all machine learning and deep learning algorithms. I have extensive experience in Software Development and Test Automation Development in a continuous integration, deployment and testing environment.

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About the lesson

  • Primary
  • Junior Secondary
  • Secondary School
  • +11
  • levels :

    Primary

    Junior Secondary

    Secondary School

    Diploma

    Supérieur

    Adult Training

    Master's Degree

    MBA

    Early Childhood education

    Beginner

    Intermediate

    Advanced

    Professional

    Children

  • English

All languages in which the lesson is available :

English

I have worked, and helped students with several school/college/university level projects on machine learning/AI. I have also created projects for students working on boot-camps.

Data Science Skills:
• Python: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras
• Data Visualization: Tableau, SAS, Python
• Supervised Machine Learning: Regression (Linear, Ridge, Lasso), Classification (Decision Tree, KNN, SVM)
• Unsupervised Machine Learning: K-means clustering, Hierarchical clustering, DBSCAN Clustering
• Ensemble Techniques: Bagging (Random Forest), Boosting (AdaBoost, XgBoost)
• Natural Language Processing (NLP): Stemming, Lemmatization, BoW, TF-IDF, Word2Vec
• Statistical Analysis: ttest, anova, chi-square, correlation
• Deep learning: ANN, CNN, RNN, Adam Optimizer, Hyperparameters Tuning

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Rates

Rate

  • 380 BWP

Pack prices

  • 5h: 1,900 BWP
  • 10h: 3,801 BWP

online

  • 380 BWP/h

Travel

  • + 30 BWP

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