Cumali profile and their contact details have been verified by our experts
Cumali
- Rate ₹2,961
- Response 1h
-
Students1
Number of students accompanied by Cumali since their arrival at Superprof
Number of students accompanied by Cumali since their arrival at Superprof
₹2,961/hr
More Python teachers
Unfortunately, this teacher is not available
- Python
- Programming languages
- Java
- Artificial Intelligence
PhD Candidate Expert Tutor in Python, R, Jupyter notebook, Machine Learning, Nature Inspired Optimization. In general terms: Data Science, Data Analysis and Data Visualization.
- Python
- Programming languages
- Java
- Artificial Intelligence
Class location
About Cumali
I am a Computer Scientist, a PhD student and a research assistant which work on Artificial Intelligence. I would like to share my knowledge with passionate people who want to learn programming, Artificial Intelligence and Data Science. Likewise, I hope to make an impact on young people toward AI.
See more
About the class
- Beginner
- Intermediate
- Children
- +11
levels :
Beginner
Intermediate
Children
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
PG Diploma
Classes 1 to 5
Masters
Advanced
- English
All languages in which the class is available :
English
Python & R
I'll walk you through the fundamentals of the Python programming world, including lambdas, reading and editing csv files, and the numpy library. I'll show you how to manipulate and clean data with the famous Python pandas data science library, as well as how to abstract the Series and DataFrame as the core data structures. I'll show you how to use the popular Python pandas data science library to perform data manipulation and cleaning, as well as the abstraction of the Series and DataFrame as the core data structures for data analysis, as well as tutorials on how to use functions like groupby, merge, and pivot tables effectively. You will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. (The same steps are valid for R )
Machine Learning
You'll learn about data dimensionality, the process of clustering data and analyzing such clusters, supervised approaches to building predictive models, and how to use the scikit learn predictive modelling techniques while recognizing data generalizability process issues (e.g. cross validation, overfitting). You'll also learn sophisticated techniques like ensemble building and the functional limitations of predictive models. Furthermore, you will be able to distinguish between supervised (classification) and unsupervised (clustering) techniques, determine which technique to use for a specific dataset and requirement, engineer features to satisfy the need, and write Python code to carry out the tasks.
Advance topics: Background of Machine Learning, Reinforcement Learning and Deep Learning techniques.
Text Mining
The fundamentals of text mining and text manipulation will be covered. You'll learn how Python handles text, the structure of text for both machines and humans, and an overview of the nltk text manipulation system. You'll also learn text manipulation techniques such as regular expressions (text searching), text washing, and text preparation for machine learning algorithms. Likewise, you'll be able to apply simple natural language processing techniques to text and see how text classification is done. You'll also be able to create advanced methods for identifying and grouping topics in documents based on their similarity (topic modelling).
Plotting & Charting & Visualization
I'll walk you through the fundamentals of data visualization, with an emphasis on reporting and charting with the matplotlib library. I'll start from a design and information literacy standpoint, discussing what makes a good and poor visualization, as well as how statistical metrics translate into visualizations. Likewise, I'll concentrate on the technologies used in python to create visualizations, such as matplotlib. I'll concentrate on matplotlib, the technology used to create visualizations in Python, and show users how to create simple charts and how to implement design decisions in the system. A tutorial of matplotlib functionality will be provided, as well as demonstrations of a variety of simple statistical charts to assist learners in determining when a specific approach is appropriate for a given situation.
Nature Inspired Optimization
Genetic Algorithms, Evolutionary Algorithms, Multi-Objective optimization
I can help you with those programming language, tools and libraries
- Python
- R
- Jupyter Notebook
- Anaconda
- packages management
- Numpy
- Matplotlib
- SciPy
- Scikit-learn
- Data Analysis
- Data Science
- Data Visualization
See more
Rates
Rate
- ₹2,961
Pack prices
- 5h: ₹13,028
- 10h: ₹23,686
online
- ₹2,961/hr
Details
Only online lessons
Similar Python teachers in Nottingham
Mohit
Jaipur & Online
- ₹2,500/hr
- 1st class free
Aniket
Bengaluru & Online
- ₹3,000/hr
- 1st class free
Jyoti
Mumbai & Online
- ₹650/hr
Somesh
Delhi & Online
- ₹800/hr
- 1st class free
N Bala
Hyderabad & Online
- ₹1,199/hr
- 1st class free
Koushik Chandra
Bengaluru & Online
- ₹1,200/hr
- 1st class free
Nitika
Hyderabad & Online
- ₹1,800/hr
- 1st class free
Dharmendra
Bengaluru & Online
- ₹2,500/hr
- 1st class free
Mohit
Panchkula & Online
- ₹1,550/hr
- 1st class free
Sajida
Faridabad & Online
- ₹999/hr
- 1st class free
Kunika
Mumbai & Online
- ₹700/hr
- 1st class free
Jai
Mumbai & Online
- ₹2,000/hr
- 1st class free
Abhay
Bengaluru & Online
- ₹1,700/hr
- 1st class free
Akash
Bengaluru & Online
- ₹600/hr
- 1st class free
Abhishek
Kanpur & Online
- ₹300/hr
- 1st class free
AYUSHI
Prayagraj & Online
- ₹1,500/hr
Abhijeet
Hyderabad & Online
- ₹899/hr
Akhilesh
Bengaluru & Online
- ₹250/hr
- 1st class free
Ayushman Singh
Jaipur & Online
- ₹1,200/hr
- 1st class free
Harsh
Bengaluru & Online
- ₹1,500/hr
- 1st class free
-
More Python teachers
