Skip to content
View deepakrameshgowda's full-sized avatar
Block or Report

Block or report deepakrameshgowda

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

Pinned Loading

  1. CREDIT-CARD-FRAUD-DETECTION CREDIT-CARD-FRAUD-DETECTION Public

    Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.

    Jupyter Notebook 1

  2. TELECOM_CHURN TELECOM_CHURN Public

    Designing strategies to pull back potential churn customers of a telecom operator by building a model which can generalize well and can explain the variance in the behavior of different churn custo…

    Jupyter Notebook

  3. Lead-Scoring-Logistic-model Lead-Scoring-Logistic-model Public

    Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.

    Jupyter Notebook

  4. IMDB-DATA-ANALYSIS-USING-SQL-FOR-RSVP-MOVIES IMDB-DATA-ANALYSIS-USING-SQL-FOR-RSVP-MOVIES Public

    Analyzing IMDB data to dig out the meaningful insight using MySQL which can assist RSVP Movies to make decisions.

  5. IPL_TABLEAU_VISUALIZATION IPL_TABLEAU_VISUALIZATION Public

    IPL teams no longer have to spend lot of time on building strategy when they access this dashboard of player, match, team and toss statistics using Tableau.

  6. IMDB_csv_file_analysis_and_visualization_using_python_Libraries IMDB_csv_file_analysis_and_visualization_using_python_Libraries Public

    Insights on 100 top-rated movies by analyzing data using python from past decade containing information about movies, its actors, and the voters who have rated these movies online.

    Jupyter Notebook