Time Series forecasting is an important concept in Statistics as well as data science. In this article, I’ll be covering an in-depth hands-on exercise for Time Series Analysis.
Before starting with the Python code, let’s discuss some very basic points of Time Series Analysis. For those who are new to it, I’ve attached some links in references to get the complete overview of Time Series Analysis.
As we know, statistical data is of 3 types:
“Information is the oil of the 21st century, and analytics is the combustion engine.” — Peter Sondergaard, Gartner.
Ever wondered why you see advertisements on Youtube or Facebook or Google sites related to your current searches?
Don’t you think these ads make you buy luxury products more instead of necessary ones?
Just like carbon footprints, everyone has digital footprints. These digital footprints are used to recognise individuals and their habits. For example, Google collects the data on every person’s location, fitness, browsing history etc. Based on this data, they are able to decide what type of advertisements would one be…
“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.” — Andrew Ng
With decision trees, AI can make well-thought decisions without any human interference. Decision trees is a supervised learning algorithm which is used to solve both regression and classification problems. It is a predictive modelling approach that gives a graphical representation of decisions and every possible outcome because of that decision.
The below diagram explains a typical structure of decisions trees:
The major challenge in decision…
Do you know what is Open-Source Coding?
Open-Source refers to code that anyone can edit and modify. Company or an individual makes a code open-source so that various developers can analyze it and together develop amazing software or service that can improve it.
Github contains thousands of open-sourced projects and is the best place for anyone looking for open-source codes. Open-source coding helps developers to read and comprehend others’ codes which in turn prepares them real-life and also helps them get relevant experience in the field.
For all those who are thinking what is Hacktober fest? It is an open-source…
Before starting with Linear regression, let’s discuss the types of algorithms. There are mainly three types of algorithms namely: Supervised, Unsupervised and Reinforcement.
Supervised Machine Learning means that the algorithm is first trained on the labelled dataset (train data) to form a model. After this, the machine is provided with a new set of data (test data) to the acquired knowledge to predict the outcomes. For instance, when all of us were babies, our parents told us what is a cow, rabbit, snake, squirrel etc.. (Trained us). …
Data science has been the fastest-growing field in the last decade. But COVID 19 has forced us to put a hold on everything. Right now, all of us are sitting in our homes and expecting COVID-19 vaccine to arrive so life can return to normal. But will that normal be the same or will it deviate? And if it is a new normal, then, how will the analytics industry respond to the change?
During the COVID era, we have seen an upsurge in admissions to MOOCs and short term online courses on Data science and machine learning. The Aarogya setu…
Data science is a combination of statistics, mathematics, Computer Science and Domain Knowledge. It is an interdisciplinary field which uses algorithms, strategies and technical skills to extract information and draw unknown insights from structured or raw data. Data Science is a single word used for framing a problem, Collecting data, Processing data, Analysing data, interpreting the results and communicating the insights to stakeholders. These insights may further be used to make new policies, optimize business decisions, frame new strategies, analyse the previous ones, discovers patterns and whatnot.
Steps involved in any data science project are:
Note: Data mining originally means…