Skip to content
View CS-Ponkoj's full-sized avatar
👓
I'm here
👓
I'm here
3 followers · 2 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark
Block or Report

Block or report CS-Ponkoj

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
CS-Ponkoj/Readme.md

Hi there, I'm Ponkoj - Machine Learning Engineer 👋

Linkedin Badge Gmail Badge

I am a Data Science Enthusiast, passionate about working with data-driven technologies to solve real-world problems. I believe that hard work, confidence, dedication & consistency can boost my skills to be a successful person in my career.


Languages and Tools:

Python java Cpp mySQL SQL Jupyternotebook MySQL MongoDB Git GitHub AWS opencv kubernets json jquery html css

Pinned Loading

  1. Alzheimer-Classification---Multiclass-Image-Classification- Alzheimer-Classification---Multiclass-Image-Classification- Public

    Classifying several stages of Alzheimer's disease, a transfer learning based pretrained model(Restnet152v2) has been implemented. The dataset has been collected from kaggle that contains 6400 image…

    Jupyter Notebook 2

  2. Fake-News-Detection-NLP Fake-News-Detection-NLP Public

    20800 train and 5200 test news dataset used to classify the fake and real news using Count Vectorizer and TF-IDF. Seven ML algorithms are applied to find the best model for the dataset.

    Jupyter Notebook 1

  3. STROKE-RISK-PREDICTION-96.9-Accuracy STROKE-RISK-PREDICTION-96.9-Accuracy Public

    Implemented a machine learning approach that can predict if a person has a risk of stroke or not. The data collected from the internet are basically the medical reports of the patients about their …

    Jupyter Notebook

  4. Next-Day-Rain-Prediction Next-Day-Rain-Prediction Public

    This is the Australian Weather dataset, been used to predict the next day rain. Three different classifier used in a hard voting system to predict.

    Jupyter Notebook

  5. Handwritten-Digits-Recognition-using-Gaussian-Naive-Bayes-Model-Scikit-Learn-Dataset- Handwritten-Digits-Recognition-using-Gaussian-Naive-Bayes-Model-Scikit-Learn-Dataset- Public

    I have used Gaussian Naive Bayes Model to predict digits from handwritten examples. This model has been trained with Scikit-learn Load_Digit Dataset, which is built in dataset of Scikit-learn.

    Jupyter Notebook 1

  6. FIFA-20-Data-Analysis FIFA-20-Data-Analysis Public

    I have collect all data FIFA dta from 2015 to 2020, then manipulates all dataset and visualize the dataset using plotly, matplotlib. Analyse the data to compare player position, growth, salary, mar…

    Jupyter Notebook