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danieljordan2/README.md

About

I'm a data science and math professional with expertise in machine learning, artificial intelligence, data processing, and visualization. Can extract insightful information from data to use for business and research enhancement. Strong analytical and problem-solving skills, team collaboration oriented, and communicates results effectively.

  • General skills: data science, machine learning, data analytics, predictive modeling, data visualization, and feature engineering.

  • Specific skills: supervised learning, unsupervised learning, clustering, PCA, statistics, EDA, decision trees, random forest, regression, time series, neural networks, deep learning, CNN, sampling, bagging, and boosting.

  • Python libraries: Pandas, Numpy, Scipy, Sklearn, TensorFlow, PyTorch, Matplotlib, Seaborn, Jupyter, Keras.

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  1. Experimental-probability-estimation-using-EDA Experimental-probability-estimation-using-EDA Public

    Experimental probability estimation of 3 big earthquakes on sept. 19 in Mexico

    Jupyter Notebook

  2. Marketing-campaign-analysis Marketing-campaign-analysis Public

    Analyze the failure of "All you need, Inc." recent marketing campaigns and identify key insights and recommendations.

    Jupyter Notebook

  3. Predicting-Potential-Customers Predicting-Potential-Customers Public

    ML model to help identify which leads are more likely to convert to paid customers

    Jupyter Notebook

  4. Loan-default-prediction Loan-default-prediction Public

    Classification model that predicts clients who are likely to default on their bank loan.

    Jupyter Notebook 4 1

  5. Classifying-fish-using-NN Classifying-fish-using-NN Public

    Identifying the origin of fish from the growth-ring diameter of scales using Neural Networks

    Python 1

  6. Estimation-of-a-non-linear-function Estimation-of-a-non-linear-function Public

    Estimation of a non-linear function using neural networks

    Python