https://github.com/injamul3798/mentorness_ml_internshipproject

I have developed and submitted two comprehensive projects: one focusing on Prediction for Credit Card Approval, showcasing my ability to analyze data and create predictive models, and the other on Sales Forecasting for a Furniture Store, demonstrating my proficiency in forecasting methodologies.
https://github.com/injamul3798/mentorness_ml_internshipproject

creditcardapproval furniture internship-project machine-learning sales time-series-analysis

Last synced: 3 months ago
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I have developed and submitted two comprehensive projects: one focusing on Prediction for Credit Card Approval, showcasing my ability to analyze data and create predictive models, and the other on Sales Forecasting for a Furniture Store, demonstrating my proficiency in forecasting methodologies.

• Host: GitHub
• URL: https://github.com/injamul3798/mentorness_ml_internshipproject
• Owner: injamul3798
• Created: 2024-02-17T13:27:28.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-02-17T13:51:25.000Z (over 1 year ago)
• Last Synced: 2025-02-07T15:45:07.686Z (8 months ago)
• Topics: creditcardapproval, furniture, internship-project, machine-learning, sales, time-series-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 12.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
I am pleased to report that I have successfully completed all the tasks assigned to me during the internship period. Here's a brief summary of my accomplishments:

## Article Submission (Day 7): 

I have submitted the required article in PDF format, showcasing my research and writing skills as per the given guidelines.

## Prediction for Credit Card Approval (Day 17): 

The project on Prediction for Credit Card Approval has been completed and submitted. I have provided the source code along with a comprehensive PowerPoint presentation and a video presentation, demonstrating my ability to analyze data and develop predictive models.

## Result of my solution

![Screenshot (603)](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/310f2b93-a981-4eb4-a8ee-2d45079b24f2)

## Correlation between features

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/b74fd1fd-6d6c-4566-83fa-7430ac710f13)

## Sales Forecasting for Furniture Store (Day 27): 

The project focusing on Sales Forecasting for a Furniture Store has also been successfully finalized and submitted. Similar to the previous project, I have included the source files, a detailed PowerPoint presentation, and a video presentation illustrating the forecasting methodologies employed and the insights derived.

### Data

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/8badd295-0303-48a1-aff5-21153a27424c)

### Ploting time series

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/88ae89b7-418d-4632-9ba4-13bb149922f8)

### Time series decomposition

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/729f2e95-cbe6-411e-b932-598191676da8)

### Some visulization

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/eff8c1c3-736a-430e-9bd1-5e3e1d333851)

### Final Prediction result for furuniture sales

![image](https://github.com/injamul3798/Mentorness_ML_internProject/assets/101572467/55f470ff-d13c-4459-9c03-6c96cc62b100)

Overall, I am proud of my achievements and believe that I have met the objectives set forth by the internship. I have not only completed the tasks but also strived to deliver high-quality work that aligns with the expectations outlined. I look forward to any feedback or further opportunities for growth that may arise from my contributions during this internship experience.