Machine Learning

Professional data science: the adventures of less being more.The adventures of less being moreThis will probably form quite the departure from my normal technical writing style focusing on the ins and outs of what has come to be one of the most all-encompassing aspects of my life, but like everything I write it’s a story close to my heart so I think its important to get out … [Read more...] about Professional data science: the adventures of less being more.

The number of clusters as one of the input parametersWhen we discussed the k-means algorithm, we saw that we had to give the number of clusters as one of the input parameters. In the real world, we won’t have this information available. We can definitely sweep the parameter space to find out the optimal number of clusters using the silhouette coefficient score, but this will be … [Read more...] about Estimating the number of clusters using the DBSCAN algorithm

Understanding Hierarchical ClusteringHierarchical clustering refers to a set of clustering algorithms that creates tree-like clusters by consecutively splitting or merging them, and they are represented using a tree.Hierarchical clustering algorithms can be either bottom-up or top-down. Now, what does this mean?In bottom-up algorithms, each data point is treated as a separate … [Read more...] about Grouping data using agglomerative clustering

The complete algorithm looks like this:import numpy as npimport matplotlib.pyplot as pltimport pandas as pdfrom sklearn.preprocessing import normalizefrom sklearn.manifold import TSNEstocks = pd.read_csv('company-stock-movements-2010-2015-incl.csv', index_col = 0)movements = stocks.valuescompanies = stocks.indexnormalized_movements = normalize(movements)model = … [Read more...] about Machine Learning for the Stock Market: Use Python to Find Companies that Behave Similarly

---------------------------------------------------------------------------LookupError Traceback (most recent call last)<ipython-input-2-03af1289e1af> in <module>1 # reading the Treebank tagged sentences----> 2 nltk_data = list(nltk.corpus.treebank.tagged_sents(tagset='universal'))~anaconda3libsite-packagesnltkcorpusreaderutil.py in … [Read more...] about #AnalysingError: Resource universal_tagset not found.

As a Data Scientist, You should be familiar with multivariate calculus and linear algebra.Knowledge level- AdvancedResources to learn MathematicsMathematics for Data Science SpecializationData Science Math SkillsIntroduction to CalculusKhan AcademyYou should have Statistics knowledge that includes statistical tests, distributions, and maximum likelihood estimators.Knowledge … [Read more...] about Best Way to Learn Data Science for Complete Beginners

Demand forecasting is a process of research of the value of the demand for future periods. It is therefore a question of estimating the consumption of products or services for future periods by adopting either a qualitative approach (which is based on judgments) or a quantitative approach (which is based on historical data).In this case study, we are interested in forecasting … [Read more...] about 3 Machine Learning models for demand forecasting: Bike share company case study

Digital Transformation Delivers Change at ScaleJust about every enterprise right now is going through some sort of digital transformation. For most, it’s about surviving, for many, it’s about disrupting and leading. Software and user experience (UX) are the new competitive edge. Managing availability and performance is now a matter of life or death for IT Operations/Devops. … [Read more...] about A Beginner’s Guide to AIOps

Top 8 real-life examples of Machine LearningPhoto by Arseny Togulev on UnsplashMachine learning is one modern innovation that has helped man enhance not only many industrial and professional processes but also advances everyday living. But what is machine learning? It is a subset of artificial intelligence, which focuses on using statistical techniques to build intelligent … [Read more...] about What are some Examples of Machine Learning?

How to detect vehicle License Plate?In the previous article on LPD, we cover all theory part, if you haven’t check out yet please go through License Plate Recognition (All you need to know) part 1.Load the pre-trained modelImage pre-processingGet license plateso in this article, I will walk you through how can we detect a license plate from a car image or we can say how we can … [Read more...] about License Plate Detection (ANPR) Part2