This contains the codes of various machine learning algorithms in python which I've practiced.
Click on the google colab link to view them:
- Facial Emotion Recognition: https://colab.research.google.com/drive/1AEoEQyU270SrvYy2W_RP5v8LpXvTH4Co?usp=sharing
- Speech Emotion Recognition: https://colab.research.google.com/drive/1IbB3neVqwdHEFZmyRvMBs0gSEDXSSw1_?usp=sharing
- Neural Style Transfer: https://colab.research.google.com/drive/1o03Q-Uuk3Wq8QCD1_qyo59Md5YadvNvc?usp=sharing
- Fashion Apparel Recognizer(PyTorch): https://colab.research.google.com/drive/11-i0HKTf-OMccB4P8BGr7KK6dx4oXkl1?usp=sharing
- Invisible Cloak: https://drive.google.com/file/d/1vjSjMv96JPHmjsBK5tKwg8z_GsHiNkli/view?usp=sharing
- Logistic Regression- Placement Data by Kaggle: https://colab.research.google.com/drive/1PpWLuUrnsN8S699XX0U2HASuToAtvNMS
- Titanic Dataset- Kaggle Completition: https://colab.research.google.com/drive/1U57lxLQ2sMIv4j_YPRoCIVw78186iWn6?usp=sharing
- CIFAR-10: https://drive.google.com/file/d/1CkubVubIRTX1papeF6IJXFl4SMBTw03V/view?usp=sharing
- MNIST: https://colab.research.google.com/drive/1NWoOf9sgUM2vp3RkjRYJAEYg1d2CNb8h?usp=sharing
- GNR(Satellite Image Analysis): https://colab.research.google.com/drive/1WImOy9-rdoBW5Evdvqsx_iqgaxF7DwJr?usp=sharing
- FashionMNIST: https://colab.research.google.com/drive/1iEHAIFCHQiKDLUKVS2SS-OfG_UAKF6sc?usp=sharing
- Fire Dataset- Kaggle: https://colab.research.google.com/drive/1ZdtMH5agThezAhd2_ydxgWnivigXE_MK?usp=sharing
- Decision Tree- Drug Dataset: https://colab.research.google.com/drive/1P6pkP1flb81Uu1vIX5ovjfw2qrXVANrD
- SVM- Cancer Cell Samples: https://colab.research.google.com/drive/1zYORca4CtQt8CZs91EUMIXquYhsnGxC8
- Logistic Regression- Churn Data: https://colab.research.google.com/drive/1GS8br04in2No3fGGOfLw7wuOin15LXSw
I built a 8 week course for this ed-tech startup which consists of various projects assignment, solved by me. I've by my own build this repo. https://github.com/ShivamModi09/Edunnovate-Technologies-Data-Science