Greetings, I would like to declare that this is just an Informative post. No promotion of site or any of its partner is done here. Would share this kind of platforms regularly with everyone so one can code online & learn. Today we will see how to use kaggle . What is kaggle? Well it is an site where MNCs host competitions to find solutions of their problems based on ML & AI. Also it is one of the best platforms to learn Python, R, Machine Learning & many more stuffs. It has its own coding environment like Jupyter Notebooks, Which is known as Kernel. This kernel supports both R & Python. In this kernels you can code freely and develop your own code & run it there itself as it gives 14gb RAM & 5.2gb GPU for each session. Let's see how we can leverage power of kaggle for learning. You need to make account first which only require an active E-Mail id. Then after signing in. You will see dashboard like this. My Kaggle Newsfeed Competitions Ma
Greetings fellas, Here we will discuss the above mentioned question. Machine learning is part art and part science. When you look at machine learning algorithms, there is no one solution or one approach that fits all. There are several factors that can affect your decision to choose a machine learning algorithm. Some problems are very specific and require a unique approach. E.g. if you look at a recommender system, it’s a very common type of machine learning algorithm and it solves a very specific kind of problem. While some other problems are very open and need a trial & error approach. Supervised learning, classification and regression etc. are very open. They could be used in anomaly detection, or they could be used to build more general sorts of predictive models. Understand Your Data The type and kind of data we have plays a key role in deciding which algorithm to use. Some algorithms can work with smaller sample sets while others require ton