Difference between revisions of "CV - Courses"
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Geographical Plotting | Geographical Plotting | ||
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+ | Linear Regression | ||
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+ | <li style="margin-bottom: 5px; margin-left: 13px"> | ||
+ | Cross Validation and Bias-Variance Trade-Off | ||
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+ | <li style="margin-bottom: 5px; margin-left: 13px"> | ||
+ | K Nearest Neighbors | ||
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+ | Decision Tress and Random Forests | ||
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+ | Support Vector Machines | ||
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+ | K Means Clustering | ||
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+ | Principal Component Analysis | ||
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+ | Recommender Systems | ||
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+ | <li style="margin-bottom: 25px; margin-left: 13px"> | ||
+ | Natural Language Processing | ||
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Revision as of 23:11, 19 November 2020
Adelo Vieira, Developer / Data Scientist 47-A Phibsborough Rd, Dublin
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BSc. (Hons) in Information Technology, Geophysical Engineer, and MSc in Petroleum Geosciencewith strong mathematical, problem-solving, and analytical skills. I'm currently particularly interested in Data Analytics and Software Development. Proficient in multiple programming languages, including Python, Java, JavaScript, SQL, and R. I have a huge interest in Machine Learning and Natural Language Processing. I've been recently working in areas such as Text classification and Sentiment Analysis. I have solid knowledge in several ML algorithms (Naive Bayes, Decision Trees, K-Nearest Neighbour) and in Time Series Analysis. I have experience working with Python (Pandas, NLPTK, Scikit-learn, SciPy, Plotly, TextBlob, Vader Sentiment), R, and RapidMiner. Solid experience in Object-oriented programming and Web Development. I have developed several projects using Java, Python, React, Node.js (Express.js), and Dash. I also have advanced experience with Linux (including Shell Scripting) and I have worked with Relational databases (SQL, MySQL, PostgreSQL) and Cloud computing (AWS and Google Cloud). |
- Python for Data Science and Machine Learning Bootcamp
- NumPy and Pandas
- Python for Data Visualization:
- Matplotlib, Seaborn, Pandas Built-in-Data Visualization
- Plotly and Cufflinks
- Geographical Plotting
- Linear Regression
- Cross Validation and Bias-Variance Trade-Off
- K Nearest Neighbors
- Decision Tress and Random Forests
- Support Vector Machines
- K Means Clustering
- Principal Component Analysis
- Recommender Systems
- Natural Language Processing
- Interactive Python Dashboards with Plotly and Dash
See course content at https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
See course content at https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/