This section of my blog focus on using Machine Learning Methods for data science. I discuss various Machine Learning algorithms that I have been using during my career.
In the realm of research, a well-designed sample is the cornerstone of drawing accurate and meaningful conclusions. Conventional sample design often relied on intuition and subjective judgment, resembling an art rather than a science. However, with the integration of cutting-edge machine learning (ML) and data science techniques, sample design and weighting have transformed into a …
Sample Design and Weighting: From Art to Science Read More »
Introduction Design thinking has emerged as a powerful approach to problem-solving and innovation, providing a human-centered perspective to tackle complex challenges. IDEO’s design thinking model has gained significant recognition for its effectiveness in driving innovation across various industries. In this article, we will explore the fundamentals of design thinking, with a focus on IDEO’s model, …
As data scientists, we often spend the majority of our time developing and training machine learning models, but what happens after we’ve deployed them to production? Maintaining a machine learning model in a production environment can be challenging, as it requires constant monitoring, version control, and testing. This is where ML Ops (Machine Learning Operations) …
Natural Language Processing (NLP) is a fascinating field of study that focuses on the interaction between human language and computers. It has become an integral part of many applications, from sentiment analysis and language translation to chatbots and recommendation systems. Scikit-Learn is a popular Python library that provides efficient tools for machine learning and statistical …
Use of Pipelines in Data | A Must Have For Data Scientists Read More »
Overfitting is one of the most common problems in machine learning. It occurs when a model becomes too complex and starts fitting the training data too closely, which results in poor performance on new, unseen data. In this article, we will discuss several techniques to prevent overfitting in machine learning models. Cross-validation: Cross-validation is a …
Ramzan, also known as Ramadan, is a month-long celebration observed by Muslims around the world. It is a time of spiritual reflection, devotion, and self-discipline. During this holy month, Muslims fast from dawn to dusk, abstaining from food, drink, and other physical needs. As a result, it can be a challenging time for those who …
PowerBI is a powerful data visualization and business intelligence tool that helps organizations make informed decisions by visualizing and analyzing large amounts of data. However, keeping PowerBI reports up-to-date can be a time-consuming task, especially if you have multiple reports that need to be refreshed and published regularly. In this article, we will show …
We all know that ChatGPT has come with a shbang, and now has become an integral part of our routine. It’s like the next Google, but on drugs! It’s about time we start layering it up and start using it in our own environment. One way we can do it, is, by using ChatGPT’s API and use …
Machine learning is a rapidly growing field, with new technologies and advancements being made every day. However, there are a number of key issues that are often overlooked or not discussed in the mainstream media. In this blog post, we will explore some of these lesser-known issues and their potential impact on the future of …
Data Science And Machine Learning Models | Key Things To Remember Read More »
Data consulting is a growing field with many opportunities for data scientists to make money. As a data consultant, you can use your data science skills to help businesses make better decisions, improve their operations, and drive revenue. Here are ten ways for data scientists to make money through data consulting: Data Strategy: Help businesses develop …
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