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Risdan224/README.md

Hi there πŸ‘‹ My name is Risdan πŸ˜„

About Me:

  • I teach python for a variety of uses.
  • Skilled in machine learning models.
  • Actively writing on medium about Data analytics and Data science.

Mentorship:

https://www.udemy.com/user/risdan-kristori/

Socials:

LinkedIn Medium Github Kaggle

Portfolios:

Data Analytic:

- Data Analysis on Liga 1 Indonesia 2023-2024 Players

Using Python data visualization libraries (Pandas and Seaborn) to analyze a dataset of Liga 1 Indonesian Soccer Player 2023-2024. The data of the players include player_name, market_value, nationality, birth_date, position, date_joined, contract, and club_name. The aim of this analysis is to find players with the highest market value, compare the market value of local and foreign players, see the distribution of foreign players within the club, and find the youngest players and veteran players in the league.

Medium GitHub

- Data Analysis on Rice Production in Indonesia 2020-2022

Using Pandas Library to analyze rice production in Indonesia 2020-2022. There are four analyses: the distribution, most productive and not productive provinces, year-by-year for columns, and year-by-year for every province.

Medium GitHub

Data Science:

- Sentiment Analysis on Mobile Legends Bang Bang Mobile Game Review (NLP and Classification Machine Learning)

Sentiment analysis on MLBB's recent 10.000 reviews on the Google Play Store then using Machine Learning to create the model to predict the sentiment of a review. The sentiment is divided into three categories: positive, neutral, and negative. The machine learning models used are Logistic Regression, Random Forest and Extreme Gradient Boosting.

Medium GitHub

- Predicting Saudi Used Car Prices using Machine Learning (Regression Machine Learning)

Sellers and buyers of used cars who do not have sufficient knowledge about cars will find it difficult to determine the price of the car to be sold. This can lead to unsold cars or losses for the seller, for the buyer the loss is the difficulty of deciding to buy a used car. This project is to create a model to predict the price of a used car based on the specifications of the car. The price generated by this model will be a reference for car sellers and buyers when buying and selling used cars. The goal is for used car sellers/buyers to make quicker decisions in conducting transactions (selling/buying).

GitHub

- Machine Learning Model for Predicting Property Value in Philadelphia (Regression Machine Learning Model)

Create a model to determine property value in the City of Philadelphia based on property characteristics created by the Philadelphia Office of Property Assessment (OPA). The goal is to obtain the true value of a property which will be used as the basis for determining the property tax price.

GitHub

Pinned Loading

  1. PurwadhikaDev/BetaEngineersTeam_JC_DS_VL_05_FinalProject PurwadhikaDev/BetaEngineersTeam_JC_DS_VL_05_FinalProject Public

    Jupyter Notebook 1

  2. Data_Analyst_Liga_1_2023-2024 Data_Analyst_Liga_1_2023-2024 Public

    Jupyter Notebook 1

  3. Predicting-Used-Car-Price Predicting-Used-Car-Price Public

    Project Capstone Modul 3 : Machine Learning

    Jupyter Notebook 1

  4. induvidual_classification_model induvidual_classification_model Public

    6 Individual Machine Learning Algorithms for Classification Model β€” Study Case: Credit Risk Analysis

    Jupyter Notebook 1

  5. sentiment_analysis_on_MLBB_game_reviews sentiment_analysis_on_MLBB_game_reviews Public

    Sentiment Analysis and Modeling using Python on Mobile Legends Bang Bang reviews

    Jupyter Notebook 1

  6. Normalization_in_Machine_Learning Normalization_in_Machine_Learning Public

    Applied normalization techniques in the feature of machine learning models

    Jupyter Notebook 1