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I'm an aspiring Machine Learning Engineer. I love Physics and Mathematics.
😁
I'm an aspiring Machine Learning Engineer. I love Physics and Mathematics.
4 followers · 5 following
  • Coca-Cola Bevarages Eswatini
  • Matsapha, Eswatini

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leon-sihlongonyane/README.md
  • 😄 I'm Leon Sihlongonyane @https://github.com/leon-sihlongonyane/
  • 🔭 I’m a masters graduate at AIMS UCT, South Africa
  • 🌱 I learnt data science focusing in machine learning.
  • 👯 I’m looking to collaborate on more machine learning, mathematical finance, mathematical computation and Industrial Problem Solving projects.
  • 🤔 My MSc project covered probabilistic combinatorics, discrete probability, and some analytic number theory.
  • 💬 Ask me about differential equations, optimization, machine learning, statistics with R and python programming for data science.
  • 📫 How to reach me: leon@aims.ac.za or leonsihlongonyane@gmail.com
  • ⚡ Fun fact: I have a background in physics and mathematics. I like basketball, hiking and nature.

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  1. Downloading-Amazon-stock-data-from-yahoo-from-2000-to-present-and-test-normality-and-volatility Downloading-Amazon-stock-data-from-yahoo-from-2000-to-present-and-test-normality-and-volatility Public

    We plot stock prices and log returns, histogram of returns and the normal distribution with the same mean and variance , test normality of series of returns and qqplot using package scilab.stats.pr…

    Jupyter Notebook 1 1

  2. Financial_calculating_implied_volatilities Financial_calculating_implied_volatilities Public

    Calculating and plotting implied volatilities for European call option on the VSTOXX (hedging stocks)

    Jupyter Notebook

  3. Neural-network-regression-problem-assignment02-project Neural-network-regression-problem-assignment02-project Public

    Sucessfully scaled our data to avoid over-sampling, preparing data for splitting into training and training. We then created a neural network using machine learning packages such as sklearn and keras.

    Jupyter Notebook

  4. Data-science-with-R-and-google-colab-python- Data-science-with-R-and-google-colab-python- Public

    Use scikit-learn to create the regression tree classifier on python (machine learning). And Statistical analysis on R , data visualization and cleaning and interpretation.

    Jupyter Notebook

  5. Machine-learning-classification-image-practical Machine-learning-classification-image-practical Public

    Jupyter Notebook

  6. Machine-learning-Tensorflow-classification-practical Machine-learning-Tensorflow-classification-practical Public

    Jupyter Notebook