- 👋 Hi, I’m @CyprianFusi
- 👀 I’m interested in Data Science and Machine Learning
- 🌱 I’m currently learning Feature Engineering and AI
- 💞️ I’m looking to collaborate on Machine Learning projects
- 📫 How to reach me [email protected]
- England, UK
-
10:32
(UTC +01:00)
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Predicting-Heart-Disease-using-K-Nearest-Neighbours
Predicting-Heart-Disease-using-K-Nearest-Neighbours PublicUp to 90% accuracy with just 5 features using KNN algorithm and PCA for feature engineering. The dataset contained less than 1000 observations. The model's accuracy could be improved using more obs…
Jupyter Notebook 2
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Predicting-Heart-Disease-using-Logistic-Regression-Classification-Algorithm
Predicting-Heart-Disease-using-Logistic-Regression-Classification-Algorithm PublicWith a precision of 86% and model's CAP curve showing an accuracy of 100%! This means it is capable of correctly predicting 100% of patients with a heart disease after processing 50% of the data. T…
Jupyter Notebook 2
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image_classification_using_GTSRB
image_classification_using_GTSRB PublicImage Classification using the German Traffic Sign Recognition Benchmark (GTSRB) using tensorflow2.0
Jupyter Notebook 1
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Using-our-SQL-skills-to-answer-business-questions
Using-our-SQL-skills-to-answer-business-questions PublicUsing complex SQL queries to answer specific business questions. Notably using multiple named subqueries, views to extract data from a database to address specific problems.
Jupyter Notebook 1
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Implementing-a-Spam-Filter-using-Naive-Bayes-Algorithm-from-scratch
Implementing-a-Spam-Filter-using-Naive-Bayes-Algorithm-from-scratch PublicAn 87% efficient Spam Filter implemented from scratch using Naive Bayes Algorithm.
Jupyter Notebook 1
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