The phrase “data analyst” has gained popularity in recent years because of the growth in data generation. Top organisations now place a high priority on data analytics. As of right now, data analytics are regarded by 77% of top organisations as being essential to business performance. However, there are a few steps that must be […]
The digital technology business is continually looking for talented employees. India’s tech sector is predicted to grow fast, from $197 billion to $227 billion, the largest increase in at least five years. It promotes innovation and creativity, but it also needs accuracy and precise attention to detail. Technology is one of the most fascinating and […]
For good reason, the data science business is booming. Companies are yearning for data scientists who can help them make sense of the massive volumes of data they collect on a daily basis, and they’re willing to pay good money for those who can. If you’re one of the many people interested in the subject, […]
Inferential statistics help us to infer unknown properties or behaviour of a larger population by studying a representative sample, using various statistical testing procedures. For example, studying the effects of a new treatment over a small group of people to test if it performs better or worse than the standard treatment, or inferring ratings of […]
Job search is a tedious process involving going through numerous job pages and lengthy job descriptions and summaries. In this article, I will try to make this process a bit easier for you using Python’s Beautiful Soup and Word cloud library. We will extract information like job title, company name, location, job summary and description. […]
AI has become an integral part of our daily lives. It’s in our cars, telling us when it’s time for the engine to be serviced based on our driving patterns; it’s in our everyday Google searches and the suggestions from Amazon that follow us around on the web; it’s the chatbot on the end of […]
So far, we have explored the data using various descriptive statistics techniques and also dealt with missing values and outliers. It may seem that we are done with all the data pre-processing and preparation, and ready to apply one of the ML algorithms. Unfortunately, we are still far from simply applying any ML algorithm. Wondering […]
Jupyter notebook is an interactive web-based application used for capturing the whole computation process – developing, documenting, and executing code. Jupyter notebook is a part of the larger Jupyter project that also includes jupyter hub and jupyter lab. Jupyter notebook supports kernels in many languages like python, pyspark, R, Julia among a few. Jupyter notebooks […]
Well, there is no straightforward and sure shot answer to this question. The answer depends on many factors like the problem statement and the kind of output you want, type and size of the data, the available computational time, number of features and observations in the data, to name a few. Here are some important […]
In the last blog, we discussed the importance of the data cleaning process in a data science project and ways of cleaning the data to convert a raw dataset into a useable form. Here, we are going to talk about how to identify and treat the missing values in the data step by step. Real-world […]
