nousheentabassum/Machine-Learning: Collection of Machine Learning, Statistics, and Data Science notebooks covering EDA, hypothesis testing, regression, classification, clustering, ensemble learning, and association rule mining using Python.

Collection of Machine Learning, Statistics, and Data Science notebooks covering EDA, hypothesis testing, regression, classification, clustering, ensemble learning, and association rule mining using Python.

Read Original

Related

GitHub Trending repo 12h ago

Ali-hey-0/audio-ai-field-guide: A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).

A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-...