1st lesson free
Hritik's profile, qualifications and contact details have been verified by our experts
Hritik
- Rate S$36
- Response 10h
-
Students3
Number of students accompanied by Hritik since their arrival at Superprof
Number of students accompanied by Hritik since their arrival at Superprof
S$36/h
Contact
1st lesson free
- Maths
- Statistics
- School science
- Algorithms
- ICT
Artificial Intelligence and Machine Learning Graduate from the University of Birmingham | Ex-Samsung Data Scientist | I love to teach
- Maths
- Statistics
- School science
- Algorithms
- ICT
Lesson location
About Hritik
From Math & Statistics --> Coding --> Data Science
Learn and apply Math with logic building
Mathematics & Statistics:
Calculus: Limits, derivatives, and integrals.
Linear Algebra: Vectors, matrices, eigenvalues, eigenvectors.
Probability: Probability distributions, random variables, expected values.
Statistics: Descriptive statistics, inferential statistics, hypothesis testing.
Multivariate Calculus: Gradients, partial derivatives.
Optimization: Gradient descent, optimization techniques.
Coding:
Programming Languages: Choose a language such as Python or R.
Basic Programming Concepts: Variables, data types, loops, conditionals.
Data Structures: Lists, arrays, dictionaries, sets.
Functions and Modules: Writing functions, modular programming.
Version Control: Git and GitHub.
Command Line: Basic command-line operations.
Data Science:
Python Libraries: NumPy, Pandas, Matplotlib, Seaborn.
Data Cleaning: Handling missing data, outliers.
Data Visualization: Creating effective visualizations.
Statistical Modeling: Regression analysis, hypothesis testing.
Machine Learning: Supervised and unsupervised learning algorithms.
Feature Engineering: Creating relevant features from raw data.
Model Evaluation: Metrics for evaluating model performance.
Data Preprocessing: Scaling, normalization, encoding.
Big Data Technologies: Apache Spark, Hadoop.
Deep Learning (Optional): Neural networks, TensorFlow, PyTorch.
Natural Language Processing (NLP): Text mining, sentiment analysis.
Time Series Analysis: Handling time-dependent data.
Databases: SQL, working with databases.
Cloud Platforms: AWS, Azure, Google Cloud.
Communication and Presentation: Explaining findings to non-technical stakeholders.
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About the lesson
- Primary
- Secondary
- Adult education
- +4
levels :
Primary
Secondary
Adult education
Bachelor
Masters
Diploma
Doctorate
- English
All languages in which the lesson is available :
English
From High School Statistics to Engineering Maths to Data Science
Learn Math and Statistics visually with logic breakdown
Qualifications: MSc Artificial Intelligence and Machine Learning | University of Birmingham | 2:1 Merit
Who are my audience: Anyone having basic idea about math and statistics
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Rates
Rate
- S$36
Pack rates
- 5h: S$181
- 10h: S$362
Travel
- + S$15
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
online
- S$36/h
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