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alifrmf/README.md

ALI_FRM

GitHub stats Top Langs

🛠️Skills🛠️

Languages:

Python PostgreSQL

Libraries & Frameworks:

NumPy Pandas Matplotlib Seaborn SciPy Plotly

scikit-learn TensorFlow PyTorch Keras

Tools:

Excel Power BI Tableau

Other:

git Google Colab Anaconda Jupyter Notebook

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Contact Me:

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✍️Here's a preview of my latest Medium articles:

Medium_logo0

🔘A Comprehensive Analysis of Hyperparameter Optimization in Logistic Regression Models🔘

In this article, we will follow a systematic approach to fine-tune the logistic regression algorithm’s hyperparameters. Our process will consist of the following steps: 1. Manually adjusting each hyperparameter, 2. Evaluating the impact of each hyperparameter on the model’s accuracy, 3. Identifying optimal values for the hyperparameters. Once we have determined the best hyperparameters, we will compare the performance of various models using these optimal values. Finally, we will provide a comprehensive analysis of the effectiveness of hyperparameter tuning in enhancing the model’s performance.

Read the full article on Medium.

🔘What a Data Scientist Should Know about Machine Learning Kernels?🔘

This article provides an overview of the concept of kernels in machine learning. It explains what kernels are and their purpose in transforming input data into a higher-dimensional space where patterns are easier to identify and classify. The article describes different types of kernels including linear, polynomial, Gaussian, sigmoid, Laplacian, cosine similarity, and histogram intersection kernels. It also discusses the limitations of kernels and the importance of hyperparameter tuning in kernel-based algorithms.

Read the full article on Medium.

Pinned Loading

  1. Country-Profiling-Using-PCA-and-Clustering Country-Profiling-Using-PCA-and-Clustering Public

    Unsupervised Machine Learning Analysis Using Clustering Model

    Jupyter Notebook 14 2

  2. Mobile-Price-Prediction-Classification-Analysis Mobile-Price-Prediction-Classification-Analysis Public

    Supervised Machine Learning Analysis Using Classification Models

    Jupyter Notebook 13 1

  3. Customer-Segmentation-Using-Clustering-Algorithms Customer-Segmentation-Using-Clustering-Algorithms Public

    Customer Segmentation Using Unsupervised Machine Learning Algorithms

    Jupyter Notebook 13

  4. Personal-Bank-Loan-Modeling-Classification-Analysis Personal-Bank-Loan-Modeling-Classification-Analysis Public

    Supervised Machine Learning Analysis Using Classification Models

    Jupyter Notebook 7

  5. Data-Cleaning-Steps-to-Clean-Data Data-Cleaning-Steps-to-Clean-Data Public

    Data Science

    Jupyter Notebook 9 1

  6. Hyperparameter-Optimization Hyperparameter-Optimization Public

    Hyperparameter Optimization for Logistic Regression Algorithms

    Python 8