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BECOMING A DATA SCIENTIST is the Next INTERNET
the future is here
Tech Hub we help you dive in

Another reminder 🎗️ to make you know that the future is truly pregnant and waiting for the manifestation of those with TECH SKILLS TECH HUB We help you get prepared 🚀💻🎯

prepare for your Next Great Dive In Tech...

Problem Type:::
*Computer Vision*

Meaning:::
*Working with images/videos*

Real-Life Example:::

*Face Recognition, Object Detection, Fingerprint Recognition*

Common Models:::
*CNN, YOLO, OpenCV*

Problem Type:::
*Natural Language Processing (NLP)*

Meaning:::
*Working with human language/text*

Real-Life Example:::
*Sentiment Analysis, Chatbot, Spam Detection, Translation*

Common Models:::
*TF-IDF, Naive Bayes, Transformers*

Problem Type:::
*Association Rule Learning*

Meaning:::
*Finding relationships between items*

Real-Life Example:::
*“People who buy Bread also buy Butter”*

Common Models:::
*Apriori, FP-Growth*

Problem Type:::
*Dimensionality Reduction*

Meaning:::
*Reducing too many columns/features*

Real-Life Example:::
*Compressing Big Data, Feature Reduction*

Common Models:::
*PCA, t-SNE*

Problem Type:::
*Anomaly Detection*

Meaning:::
*Detecting unusual behavior*

Real-Life Example:::

*Fraud Detection, Server Attack Detection, Exam Malpractice, Fake Transactions*

Common Models:::

*Isolation Forest, One-Class SVM*