Andrea's profile and their contact details have been verified by our experts.
Andrea
- Rate $244
- Response 6h
-
Students50+
Number of students Andrea has accompanied since arriving at Superprof
Number of students Andrea has accompanied since arriving at Superprof
$244/hr
Contact
- Computer Science
- Software
- Machine learning
- Coding
Improve your proficiency in machine learning: Gain insights from a PhD holder with a background in academia and industry, specializing in financial applications. Suitable for both professionals and st
- Computer Science
- Software
- Machine learning
- Coding
Lesson location
Super tutor
Andrea is one of our best Computer science tutors. High-quality profile, verified qualifications, a quick response time, and great reviews from students!
About Andrea
- PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction - Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally - Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting - Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations - Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance - Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, SAS, Stata, R, SQL/Oracle and Excel. - I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment. - I have learnt to adapt to different needs and learning styles according to the student, in order to optimize their success in turning their weaknesses into strengths. - I'm patient, friendly and understanding. I am proficient in research and development and it’s my day-to-day work. I am a photography enthusiast and an insatiable learner.
See more
About the lesson
- Primary
- High School
- NCEA Level 1
- +11
levels :
Primary
High School
NCEA Level 1
NCEA Level 2
Adult education
Undergraduate
Masters
Diploma
Doctorate
Beginner
Intermediate
Advanced
Professional
Kids
- English
All languages in which the lesson is available :
English
PhD graduate Academically Trained Tutor in Machine Learning with Python, Jupyter notebook and coding for Data Science, Data Analysis, Quantitative Methods and Data Visualization using Pandas and related packages. Please have a look at my reviews here https://www.superprof.co.uk/academically-trained-phd-graduate-expert-tutor-python-jupyter-notebook-data-science-data-analysis-quantitative-methods-and.html and at my Github portfolios (concealed information) SERVICES I can offer my assistance with Machine Learning algorithms and their practical application in Python, both for students and professionals. I will also teach you how to edit code in Jupyter Notebook and general coding skills for Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression and Classification and so on, as well as, Data Visualization with Matplotlib, Seaborn and similar. Additionally, you will learn Anaconda and its package management. I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex coding problems and techniques. I will help you in: 1. understanding the fundamentals: Before diving into the specifics of machine learning, it's important to have a solid foundation in mathematics, statistics, and computer science. This will help you understand the various algorithms and techniques used in machine learning. 2. choosing a programming language: There are several programming languages used in machine learning, such as Python, R, and Java. Python is the most popular language for machine learning due to its simplicity, flexibility, and large community support. 3. learning the different types of machine learning: There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model using labeled data, unsupervised learning involves training a model without labeled data, and reinforcement learning involves training a model through trial and error. 4. choosing a machine learning algorithm: There are several machine learning algorithms to choose from, such as linear regression, decision trees, random forests, neural networks, and support vector machines. Choose an algorithm based on the problem you're trying to solve and the type of data you're working with. 5. practicing with datasets: Practice is key to mastering machine learning. There are several datasets available online that you can use to practice your skills, such as the Iris dataset, MNIST dataset, and Boston Housing dataset. 6. joining online communities: Joining online communities such as GitHub, Kaggle, and Stack Overflow will help you connect with other machine learning enthusiasts and get help with any questions you may have. 7. staying up-to-date with the latest developments: Machine learning is a rapidly evolving field, so it's important to stay up-to-date with the latest developments. Follow blogs, attend conferences, and read research papers to stay informed about the latest techniques and trends.
See more
Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
5
I recommend Andrea to everyone as he demonstrated a good knowledge of statistics and coding. He is a professional and respectful teacher—excellent communication and commitment to timing and scheduling.
Very good at explaining complex ideas in a simple manner! Couldn't recommend him enough! Also very trustworthy with response time etc.
Andrea has sound knowledge , and his way of teaching is excellent. Great Tutor to have especially for Economics/Business related stuff.
Andrea taught one of our mangers the basic and intermediate level concepts of excel over 8 week period.
10/10 would recommend.Andrea is an excellent and helpful professional tutor.
View more recommendations
See more
Rates
Rate
- $244
Pack prices
- 5h: $1218
- 10h: $2436
online
- $244/h
Similar Computer Science tutors in Sydney
Alex
Christchurch & online
- $100/h
Jake
Cambridge & online
- $50/h
- 1st lesson free
Gabriel
Christchurch & online
- $50/h
- 1st lesson free
Dr Pooja
Auckland & online
- $80/h
- 1st lesson free
Callum
Auckland & online
- $60/h
- 1st lesson free
Haritha
Auckland & online
- $7/h
- 1st lesson free
Samuel
Nelson & online
- $25/h
- 1st lesson free
Naz
Palmerston North & online
- $45/h
- 1st lesson free
Aryan
Auckland & online
- $25/h
- 1st lesson free
Lamees
Silverdale & online
- $25/h
- 1st lesson free
Fortunate
Wellington & online
- $20/h
- 1st lesson free
Twisha
Auckland & online
- $35/h
- 1st lesson free
Liviya
Auckland & online
- $50/h
- 1st lesson free
Priyankush
Auckland & online
- $30/h
- 1st lesson free
Atika
Auckland
- $70/h
- 1st lesson free
Hiyori
Wellington & online
- $35/h
- 1st lesson free
Ram
Auckland & online
- $60/h
- 1st lesson free
Atharva
Auckland & online
- $40/h
- 1st lesson free
Amiruzzaman
Wellington & online
- $38/h
- 1st lesson free
Mini
Auckland & online
- $35/h
- 1st lesson free
-
See Computer Science tutors
