https://github.com/farhansadidzihan/business-intelligence

Big Data Analysis & Operations For Best Business Strategies & Decisions
https://github.com/farhansadidzihan/business-intelligence

business-intelligence data-science intelligence machine-learning python

Last synced: about 1 month ago
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Big Data Analysis & Operations For Best Business Strategies & Decisions

• Host: GitHub
• URL: https://github.com/farhansadidzihan/business-intelligence
• Owner: farhansadidzihan
• Created: 2024-11-02T02:21:21.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-12-09T04:30:07.000Z (about 2 months ago)
• Last Synced: 2024-12-25T15:13:16.909Z (about 1 month ago)
• Topics: business-intelligence, data-science, intelligence, machine-learning, python
• Language: Python
• Homepage:
• Size: 1.21 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
### Data Collect & Clean -> EDA & Modelling -> Data Visualization

### Step 1. [Collect](https://youtu.be/D_wNQR3LeeM?si=oe2rR-RaOSZ8cVZL) & Clean

**Tech**: Python, DSA, DBMS, Numpy, Pandas, OpenRefine,  [MySQL](https://www.youtube.com/watch?v=us1XyayQ6fU&list=PLZoTAELRMXVNMRWlVf0bDDSxNEn38u9Cl) 




**Non-Tech**: Excel

  

### Step 2. EDA & [Modeling](https://dbourke.link/mlmap)

**Tech**: Sk-Learn, Tensorflow, Pytorch, Keras, Pandas_Profiling, FeatureTools




**Non-Tech**: Apache Hadoop, Apache Spark

1. [Stats Playlist](https://www.youtube.com/watch?v=7y3XckjaVOw&list=PLTDARY42LDV6YHSRo669_uDDGmUEmQnDJ), [Stats Session](https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay)

2. [EDA & Feature Engineering](https://www.youtube.com/watch?v=bTN-6VPe8c0&list=PLZoTAELRMXVPzj1D0i_6ajJ6gyD22b3jh)

1. [ML Playlist](https://www.youtube.com/watch?v=7uwa9aPbBRU&list=PLTDARY42LDV7WGmlzZtY-w9pemyPrKNUZ0),[OneShot](https://youtu.be/JxgmHe2NyeY?si=K0jwXBA-dJPA54nV)

2. DL [OneShot](https://youtu.be/V7Z2sV00nHI?si=A6Vt5s7oDjrSaAoR), [Playlist](https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns)

3. [NLP](https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn)

### Step 3. Data Visualization

**Tech**: Matplotlib, Seaborn




**Non-Tech**: Power BI, Tableau 

## 🏳️ [Projects](https://madewithml.com/courses/mlops/) & Interviews

**Remote Jobs:** [Blind](https://www.teamblind.com/salary), [F6S](https://www.f6s.com), [Internships](https://www.virtualinternships.com), [WWR](https://weworkremotely.com), [Remote.co](https://remote.co/remote-jobs), [FlexJobs](https://flexjobs.com)

1. Docker, Kubernetes

3. [Data Science Questions](https://www.mlstack.cafe)

2. [SQL Questions](https://datalemur.com)