DINESH REDDY's Projects
Answers to 120 commonly asked data science interview questions.
My Answer to 120 Data Science Interview Questions
500 AI Machine learning Deep learning Computer vision NLP Projects with code
The challenges , competitions hosted on Analytical Vindhya Page
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
All solutions for love babber DSA sheet in Python
Deployment of flight rate prediction ML model
Assessment challenges on Hacker Earth
The code i practiced from the book (Hand on Machine Learning)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hiring challenges on various platforms
Predicts the college based on your rank in JEE
Kaggle competitions
Machine Hack Challenges Solutions .
Python Data Science Handbook: full text in Jupyter Notebooks
DOM Challenge is a 60-90 minutes online weekly challenge related to frontend development consisting of industrial level machine round questions.