Guide4Pr0gramming

Python has a large number of libraries that have been specially developed for the purpose of data science and analysis. It provides a lot of useful libraries that help you in manipulating data, exploratory data analysis, and building models. “Python has been a charmer for data scientists” 1. Pandas: Pandas stand for “Python Data Analysis Library". Pandas is one of the most powerful libraries for data manipulation. In the pandas' library, there are various numbers of import and export functions. It also includes a method for data structures What can you do with Pandas? Indexing, manipulating, renaming, sorting Update, Add, Delete columns handle missing data or NANs 2. NumPy: Numpy is the most important package in Python, it is a general-purpose array-processing package. NumPy contains generic multi-dimensional data. What can you do with NumPy? Basic array operations Advanced array operations Work with DateTime or Linear Algebra Slicing...

Both Java and Kotlin are general-purpose object-oriented programming language. Here I am sharing some points related to Java and Kotlin that will help in understanding the programming language and choosing the most appropriate language to develop Android apps. JAVA FOR ANDROID DEVELOPMENT Platform independent Java is a platform-independent programming language. It can be run on any platform. Java doesn’t require any source code on the machine from where it is executed. This allows that an application can run on any smartphones whether it is Samsung, Nokia, Lenovo, Mi, etc. Object-oriented Java is an object-oriented language. Developing object-oriented applications are easier. It keeps the system modular, flexible, and extensible. There are various methodologies that are used in the combination of Java include Abstraction, Encapsulation, Polymorphism, etc. Tools Java has its in-built development asset tools like Eclipse and Netbeans which enhances the features list...

HOWDY!! :D Once you’ve completed your textbooks & done with your theoretical materials, it's crucial for you to lay your hands on some practical projects.  Working on real-time projects is always a better approach to have practical insight into any technology. This will not only help you to grab the concepts thoroughly but will also make you stand out in the crowd & increase your chances of getting a job. . Topmost open-source Python-based ML Projects with Source Code These are some really amazing Machine Learning Projects you can lay your hands on. MACHINE LEARNING PROJECTS Stock Price Prediction Predicting the stock market moves is one of the difficult things to do. This is so because it involves various factors- physical, psychological, rational, irrational behaviour, etc. But doesn’t it seem quite interesting if we could make investments by predicting the stock price moves? The goal of this machine learning project is to predict the future...

Let us see some parameters and rating. The information below is to choose the best one and I give a score to each of these 3 languages- Background SAS - It has been the undisputed market leader in commercial analytics space. The Software offers a huge array of statistical functions has a good GUI for the people to learn quickly & provides technical support. It ends up being the most expensive option & always enriched with statistical functions. Python- It is a multi-purpose, free & open source programming language and becomes very popular in Data Science due to its active community & Data Mining Libraries. R- It is a free & open-source programming language used to perform advanced data analysis tasks. Because of its open-source nature, latest technology gets released quickly and it is a very cost-effective option . SAS   is being preferred by big corporations because they offered highly reputed customer service, which is why SAS has an advanta...