Technology is on the way to constant evolution with each and every passing day. In fact, some revolutionary, pathbreaking advancements in technologies could quickly and efficiently send business establishments’ profit margins to dizzying heights thereby making them reach the pinnacle of success in the corporate scenario. And with big data making inroads into the IT landscape and other commercial, business setups, assuming important stature day by day, Machine Learning has become one of the most preferred and sought-after technologies capable of translating the big data information. In order to do this, one requires to have a good programming language, i.e., Python taught in Python Classes in Pune or elsewhere. Goes without saying, Python partnership has cemented its place in the IT and data science industry, with a number of market leaders and corporate biggies implementing Python learnt in Python Data Science Training institutes, for a wide range of tasks including consumer segregation, web development, process automation, software application development, and many more. Going by StackOverflow reports, Python’s popularity is growing significantly and insurmountably in the years to come. And not to forget, Machine Learning that requires a sound background of Python Programming and Python Coding.
Machine Learning-
It’s nothing but employing data for making a machine create and formulate intelligent decisions. Machine Learning is based on recognizing and learning via patterns in data. Thereafter, intelligent algorithms are built by extracting, processing, defining, cleaning, arranging and understanding the data. And to carry out such tedious tasks, Python, rather, Python Programming is used as it’s easy to understand. Adding Python to the implementation process helps engineers and IT professionals to validate varied ideas proving to be highly beneficial in the long run.
Significance of Python in Machine Learning:
- Rich Ecosystem of Python Libraries-Python, in other words, Python Language taught in Python Classes in Pune or anywhere, is a high-level scripting language, endowed with a growing ecosystem of libraries, frameworks, and tools thereby helping users to perform myriad functions whilst saving an adequate amount of time spent in code generation.
Some common Python libraries used for Machine Learning are:
Matplotlib-
Fast processing and high-quality graphics generation, employed in data visualization and graphical plotting.
NumPy-
Creation of universal data structure beneficial for analysis and exchange of algorithms; advanced mathematical operations on huge data sets.
Pandas-
Data manipulation, data analysis, in other words, Python for Data Analysis, data alignment, data set restructuring, and segmentation.
Scikit-Learn-
Data analysis, data mining, statistical modelling.
TensorFlow-
Build and train neural networks; Pattern detection; Numerical computing.
PyTorch-
Artificial intelligence, Machine Learning, deep learning applications.
The aforementioned Python libraries make the implementation of AI and ML algorithms very easy, enabling faster product development.
- Python Language is a flexible and super-efficient programming language offering the Python Developer an option to choose between OOP or Scripting. Additionally, it doesn’t require the recompilation of the source code, making it easier to view the outcomes. In fact, developers have the option to opt for the varied Python Programming styles, which include:
Flexibility-
Imperative programming – Imperative programming which commands a computer should perform, thereby helping to define computational sequences in keeping with the change in program state.
Functional programming- Also referred to as declarative programming, it declares the operations to be carried out as a mathematical equation, irrespective of program state.
Object-oriented programming- Based on the concepts of class and object, here similar objects form classes. It’s very helpful and beneficial for Python Developer to an extent.
Procedural programming- It constitutes taking up tasks in a stepwise format, employed in sequencing, iteration, modularization, and selection.
- Simplicity & Consistency-Python Language or Python Programming offers readable codes. Since Machine Learning and artificial intelligence encompass complex algorithms, the simplicity and uncomplexity of Python adds value, enabling the creation of reliable systems. This aids the Python Developer to remain focused on machine learning problem without worrying about technical know-hows of the language. Python is easier to understand and learn thereby paving way for creating Machine Learning models. Besides, Python is intuitive and apt for collaborative deployment, allowing faster prototyping and product testing.
- Platform Independence-Python is a binary platform-independent programming language, denoting it is capable of running on a range of platforms and software architectures. The developer can write the code, compile, and run on numerous platforms. Python has gained popularity owing to its high-end versatility, running on platforms such as Windows, Macintosh, Linux, Solaris MacOS, Unix, and others. Integrating Python with languages like Java, .NET, C/C++, Perl, PHP, R, etc., is easy.
- Great Community Support-Being an open-source language, Python imparted at Python Classes in Pune or elsewhere, possesses strong community support. Python Language is free, having a number of beneficial libraries and tools to offer, with its documentation being accessed online. Programmers discuss their problems statements in forums and chat with others for finding appropriate solutions. Additionally, Python has an edge over others in terms of great corporate support, with top-notch companies such as Google, Facebook, Instagram, Netflix, Quora, etc., employing Python in an extensive manner. In fact, Google has created Python libraries for Machine Learning like Keras, TensorFlow, etc.
- Good Data Visualization-In data science and Machine Learning, data presentation is of paramount importance. To present the data in human-readable format, Python is indispensable. Python libraries such as Matplotlib come up with great data visualization tools that aid in setting up data, parameters, figures, and plotting very conveniently. Such libraries help to present data in varied forms including line plots, histograms, contouring and pseudocolor, images, three-dimensional plotting, paths and multiple subplots.
Machine Learning Algorithms in Python:
- Linear Regression-A simple regression algorithm that models the relationship between a dependent variable and one or more independent variables as a linear equation.
- Logistic Regression-A Classification algorithm employed for predicting a binary outcome (yes/no, true/false) based on one or more independent variables.
- Decision Trees-A tree-based algorithm involving each code representing a decision and each leaf node stands for an outcome. It is used for both regression and classification problems.
- Random Forest-An ensemble learning methodology or procedure for both classification and regression, where numerous decision trees are fused to produce a more accurate prediction.
- SVM (Support Vector Machines)-A supervised machine learning algorithm employed for classification and regression, seeking to find the best boundary between classes by maximizing or optimizing the margin between them.
- K-Nearest Neighbours (KNN)-A simple algorithm classifying data points based on the majority vote of its k nearest neighbours. It’s used for both regression and classification problems.
- Naive Bayes-A probabilistic algorithm based on Bayes’ theorem that makes classifications in keeping with the probability of data points belonging to a certain class or section/segment.
- K-Means Clustering-An unsupervised learning algorithm grouping similar data points together into clusters based on their proximity to each other. It’s employed for clustering and dimensionally reduction.
To conclude, the practical implementation of Python taught in Python Classes in Pune or anywhere, in Machine Learning projects and tasks has made the work easier and convenient for developers, data scientists, and machine learning engineers. Python Language can be easily used for analysis and composing available data, making it one of the most sought-after languages in data science. The rich native expansion also strengthens the advantages and benefits of Python more apt for Machine Learning, data accounting, etc. In fact, there’s Python for Everybody catering to all kinds of requirements and preferences!
Learn Python at Scoopen School of Program Engineering, situated at Dhankawadi, Pune India, imparting Python Data Science Training & Machine Learning, Database Power BI, SQL PLSQL, Business Analyst, SAP SD MM HANA, AWS Azure DevOps, Micro.Net, Angular JS, Java Course, Soft Testing, providing biggest competitive Cloud Analytics, and Automation platform in Pune. Established in 2011, Scoopen School of Program Engineering has secured the topmost position amongst a bevy of Computer Training Institutes, equipped with best-in-class professional, experienced teachers, instructors, and mentors possessing sound technical knowledge in structures and project management, imparting easy-to-understand style presentation. Scoopen School is bestowed with laurels of Excellence Award Winner in 2016, 2017 & 2018 in Multiple technologies by PROGVALTON TECH for its astounding proficiency and excellence making way for insurmountable growth in future.