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Machine Learning with Python Training Course in Gurgaon,Delhi

According to the 2020 Stack Overflow survey, nearly 52% of developers use python, and a further 30% want to do so. It is one of the official language of Google. Python and Machine learning are termed as bread & butter of future analytics industry. There is so much curiosity about them that Python and Machine learning searches even outstrip searches for Donald Trump and Sunny Leone on Google.

Instructor Led Training  |  Free Course Repeat  |  Placement Assistance  |  Job Focused Projects  |  Interview Preparation Sessions

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Curriculum

Topics to be covered

    • Statistical learning vs. Machine learning
    • Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
    • Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validation)
    • Concept of Overfitting and Under fitting (Bias-Variance Trade off) & Performance Metrics
    • Types of Cross validation(Train & Test, Bootstrapping, K-Fold validation etc)
    • Iteration and Model Evaluation
    • Python Numpy (Data Manipulation)
    • Python Pandas(Data Extraction & Cleansing)
    • Python Matplot (Data Visualization)
    • Python Scikit-Learn (Data Modelling)
    • EDA – Quantitative Technique
    • Data Exploration Techniques
    • Sea-born | Matplotlib
    • Correlation Analysis
    • Data Wrangling
    • Outliers Values in a DataSet
    • Data Manipulation
    • Missing & Categorical Data
    • Splitting the Data into Training Set & Test Set
    • Feature Scaling
    • Concept of Over fitting and Under fitting (Bias-Variance Trade off) & Performance Metrics
    • Types of Cross validation(Train & Test, Bootstrapping, K-Fold validation etc)
    • Basic Data Structure & Data Types in Python language.
    • Working with data frames and Data handling packages.
    • Importing Data from various file sources like csv, txt, Excel, HDFS and other files types.
    • Reading and Analysis of data and various operations for data analysis.
    • Exporting files into different formats.
    • Data Visualization and concept of tidy data.
    • Handling Missing Information.
    • Calls Data Capstone Project
    • Finance Project : Perform EDA of stock prices. We will focus on BANK Stocks(JPMorgan, Bank Of America, Goldman Sachs, Morgan Stanley, Wells Fargo) & see how they progressed throughout the financial crisis all the way to early 2016.
    • Fundamental of descriptive Statistics and Hypothesis testing (t-test, z-test).
    • Probability Distribution and analysis of Variance.
    • Correlation and Regression.
    • Linear Modeling.
    • Advance Analytics.
    • Poisson and logistic Regression
    • Feature Selection
    • Principal Component Analysis(PCA)
    • Linear Discriminant Analysis (LDA)
    • Kernel PCA
    • Feature Reduction
    • Simple Linear Regression
    • Multiple Linear Regression
    • Perceptron Algorithm
    • Regularization
    • Recursive Partitioning (Decision Trees)
    • Ensemble Models (Random Forest , Bagging & Boosting (ADA, GBM)
    • Ensemble Learning Methods
    • Working of Ada Boost
    • AdaBoost Algorithm & Flowchart
    • Gradient Boosting
    • XGBoost
    • Polynomial Regression
    • Support Vector Regression (SVR)
    • Decision Tree Regression
    • Evaluating Regression Models Performance
    • Logistic Regression
    • K-Nearest Neighbours(K-NN)
    • Support Vector Machine(SVM)
    • Kernel SVM
    • Naive Bayes
    • Decision Tree Classification
    • Random Forest Classification
    • Evaluating Classification Models Performance
    • K-Means Clustering
    • Challenges of Unsupervised Learning and beyond K-Means
    • Hierarchical Clustering
    • Purpose of Recommender Systems
    • Collaborative Filtering
    • Market Basket Analysis
    • Collaborative Filtering
    • Content-Based Recommendation Engine
    • Popularity Based Recommendation Engine
    • Anomaly Detection and Time Series Analysis
    • Upper Confidence Bound (UCB)
    • Thompson Sampling
    • Spacy Basics
    • Tokenization
    • Stemming
    • Lemmatization
    • Stop-Words
    • Vocabulary-and-Matching
    • NLP-Basics Assessment
    • TF-IDF
    • Understanding Word Vectors
    • Training the Word2Vec Model
    • Exploring Pre-trained Models
    • POS-Basics
    • Visualizing POS
    • NER-Named-Entity-Recognition
    • Visualizing NER
    • Sentence Segmentation

Course Description

    Machine Learning with Python course will help you understand both basic & advanced level concepts like writing python scripts, sequence & file operations in python, Machine Learning, Data Analytics, Web application development & widely used packages like NumPy, Matplot, Scikit, Pandas & many more. Professionals who don’t have good coding skill need not worry, Python is the most user-friendly and easy to learn language, is used as a powerful tool in handling advanced analytics applications

    After the completion of Machine Learning Course, you will be able to:

    • Develop and Implement various Machine Learning Algorithms in daily practices & Live Environment.
    • Build Real time Machine Learning Applications
    • Implement Data Analytics models on various Data Sets
    • Data Mining across various file formats using Machine Learning models
    • Building Recommendation systems and Classifiers
    • Perform various type of Analysis (Prediction & Regression)
    • Implement plotting & graphs using various Machine Learning Libraries
    • Import data from HDFS & Implement various Machine Learning Models
    • Building different Neural networks using NumPy and TensorFlow

    Gyansetu Data Science program is delivered by faculty having a strong educational M.Tech (CS) from IIT-Hyderabad, B.Tech (CS) from NIT-Surat (Gold Medalist) & currently working with world's top IT company Microsoft.

    We at Gyansetu understand that teaching any course is not difficult but to make someone job ready is the essential task. That's why we have prepared capstone projects which will drive your learning through real time industry scenarios and help you clearing interviews.

    All the advanced level topics will be covered at Gyansetu in a classroom/online Instructor led mode with recordings.

    Knowledge of basic statistics & any programming language is beneficial. However, Gyansetu offers a complementary instructor led course on statistics & python before you start Data Science course.

    Gyansetu is providing complimentary placement service to all students. Gyansetu Placement Team consistently work on industry collaboration and associations which help our students to find their dream job right after the completion of training.

    • Our placement team will add Big Data skills & projects in your CV and update your profile on Job search engines like Naukri, Indeed, Monster, etc. This will increase your profile visibility in top recruiter search and ultimately increase interview calls by 5x.
    • Our faculty offers extended support to students by clearing doubts faced during the interview and preparing them for the upcoming interviews.
    • Gyansetu’s Students are currently working in Companies like Sapient, Capgemini, TCS, Sopra, HCL, Birlasoft, Wipro, Accenture, Zomato, Ola Cabs, Oyo Rooms, etc.



    • Gyansetu trainer’s are well known in Industry; who are highly qualified and currently working in top MNCs.
    • We provide interaction with faculty before the course starts.
    • Our experts help students in learning Technology from basics, even if you are not good in basic programming skills, don’t worry! We will help you.
    • Faculties will help you in preparing project reports & presentations.
    • Students will be provided Mentoring sessions by Experts.

Certification

Machine Learning with Python Certification

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Machine Learning with Python Training Course in Gurgaon,Delhi Features

FAQs

    We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

    Interview selection depends on your knowledge and learning. As per the past trend, initial 5 interviews is a learning experience of

    • What type of technical questions are asked in interviews?
    • What are their expectations?
    • How should you prepare?


    Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

    We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!! Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x

    Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews is a learning experience of

    • What type of technical questions are asked in interviews?
    • What are their expectations?
    • How should you prepare?


    Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

    We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x

    Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews is a learning experience of

    • What type of technical questions are asked in interviews?
    • What are their expectations?
    • How should you prepare?


    Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.


    Yes, a one-to-one faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you clear all your queries before you start classes with us.

    We understand the importance of every session. Sessions recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.

    Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc, so that a student can get a good handle of these topics.

    We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.

    We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.

    Yes, we have batches available on weekends. We understand many students are in jobs and it's difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors.

    Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, so either the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more on this.

    Total duration of the course is 160 hours (80 Hours of live-instructor-led training and 80 hours of self-paced learning).

    You don’t need to pay anyone for software installation, our faculties will provide you all the required softwares and will assist you in the complete installation process.

    Our faculties will help you in resolving your queries during and after the course.

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