Andrea's profile, diploma and contact details have been verified by our experts
Andrea
- Rate 109 US$
- Response 1h
-
Students50+
Number of students Andrea has accompanied since arriving at Superprof
Number of students Andrea has accompanied since arriving at Superprof
109 US$/hr
Contact
- Software
- Machine learning
Learn Machine Learning from a PhD graduate, academically trained with professional and academic experience, with a focus on financial application. Both for students and professionals.
- Software
- Machine learning
Lesson location
Recommended
Andrea 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 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 learned 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.
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About the lesson
- Pre school
- Primary school
- Junior high school
- +11
levels :
Pre school
Primary school
Junior high school
SHS 1
Adult Education
University education
BTS
Master's degree
MBA
Beginner
Intermediate
Advanced
Professionel
Child
- 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.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
3
I found Andrea to be a helpful, patient, and encouraging tutor. Thanks Andrea, your help was much appreciated.
Andrea is an excellent teacher! He is knowledgeable and got back to me quickly when I reached out to plan a lesson. I required a lot of help working with Excel for a school project and Andrea was able to teach me everything I needed to know during our session. He provided very clear explanations and allowed me to record the zoom call so that I could return to it for future reference which will be extremely helpful.
Very knowledgeable, can help with university-level statistics courses.
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Rates
Rate
- 109 US$
Pack prices
- 5h: 109 US$
- 10h: 1,091 US$
online
- US$109/h
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