Backward elimination is an advanced technique for feature selection to select optimal number of features. Sometimes using all features can cause slowness or other performance issues in your machine learning model. Introduction to Backward Elimination in Machine Learning If your model has several features, it is possible that not all features are equally important. Some features actually…

Is there any vehicle other than direct stock investment which is safer and helps you be well-diversified? How to get a list of all possible permutations and combinations of all types of investments and how to rank them in order of your preference: 1 or 2 or 3 year return…

FOMO (fear of missing out) in current times, when US and global stock markets are soaring, tops the list of emotions generally seen in any investor. Should I invest right now? If I don’t invest, I will loose those thousands or millions I can earn like my colleague earned in…

Step-by-step instructions along with backward elimination, cross_val_score and KFold explanation — The mission is to predict the mileage of a particular car in city driving, given data of some parameters (features) for hundreds of cars. This project uses UCI dataset of almost 400 cars with accurate values of following parameters. 1. mpg: continuous 2. cylinders: multi-valued discrete 3. displacement: continuous 4. horsepower: continuous 5. weight: continuous 6. acceleration: continuous 7. model year: multi-valued discrete 8. origin: multi-valued discrete 9. …

Continuation story of Diamond Price Prediction using ML This post is more of a continuation of the Diamond Price Prediction using Machine Learning story. Diamonds are forever — price prediction using Machine Learning regression models and neural… Amongst a variety of items that are not quantitatively or statistically valued by buyers, Diamonds are possibly the…medium.com The first post sows the seed for Machine Learning regression algorithms to predict the price of a high value item using publicly available database of roughly…

Using PriceScope and CaratLane Diamond listing Amongst a variety of items that are not quantitatively or statistically valued by buyers, Diamonds are possibly the most valuable. The purchase is far less from rational with a heavy bent on emotional ties. …

Following are the notes I created before my Machine learning / NLP interview. This is a set of really concise notes with brief explanation, quick answers and python code with comments for a lot of Machine learning and NLP algorithms using ML libraries like Sklearn, Spacy, NLTK, Numpy, Pandas…

Following are the notes I created before my Machine learning / NLP interview. This is a set of really concise notes with brief explanation, quick answers and python code with comments for a lot of Machine learning and NLP algorithms using ML libraries like Sklearn, Spacy, NLTK, Numpy, Pandas…

Following are the notes I created before my Machine learning / NLP interview. This is a set of really concise notes with brief explanation, quick answers and python code with comments for a lot of Machine learning and NLP algorithms using ML libraries like Sklearn, Spacy, NLTK, Numpy, Pandas…