Best Machine Learning Course Training in Parappanangadi - Fees, Placements

Learners 1000+
  • Best Machine Learning Course in Parappanangadi to Learn in Online / Classroom Format and Get Certified from Best Machine Learning Training Institute QuickXpert Infotech known for Quality Training in Reasonable Fees and Placements!

  • About Our Data Science Certification Course -

    Learn from basics of Python to advanced A.I. and Analytics modules with projects under or Experts. Can be learnt by both freshers and experienced to become a Data Science Professional

  • Trainer -

    Multiple Trainers, Exp. Professional from Industry

  • Jobs Roles Targeted -

    Data Scientist, Machine Learning Engineer, Data Analyst etc.

  • Any Pre-requisites -

    None. Any one from IT or non IT can learn. Individual courses / customized training available.

Syllabus

Syllabus

Data Science & Analalytics Course
  • Introduction & Installation
    • Introdution to Python & Python Analytics or Adv. Python
    • Python / Anaconda Installations & Configuration
  • Programming Basics
    • Variables
    • Data Types
    • User Inputs
    • Unpacking
    • Boolean Practice
    • What If, Else and If, Making Decisions
    • Loops
  • Functions
    • Creating Functions
    • Using Built in Functions
  • OOPs Programming
    • Modules
    • Classes & Objects
    • Inheritance
    • Overloading
    • Composition
  • Data Structures
    • List
    • Tuple
    • Set
  • Exception Handling
  • MySQL Server Setup
    • Installing and Configuring MySQL Server
    • Creating Database
    • CRUD Operations
    • Create Tables
      • Insert
      • Update
      • Delete
  • Database Integration with Python
    • Connection to Database from Python
    • Writing functions to handle database operations
    • CRUD Operations in python
  • Web Scrapping
    • Getting Data from Any Website using Python (new)
  • Data Analytics in Python
    • Installing & Understanding Analytics Packages
    • NumPy Array Operations
    • Pandas Data Frame Operations
    • Data Acquisition (Import & Export)
    • Indexing
    • Selection
    • Sorting
    • Filtering
    • Group By
    • Binning
    • Concatenation
    • Merge
    • Append
    • Drop
  • Data Visualization in Python
    • Installing Librarires
      • Matplotlib
      • Seaborn
    • Charts & Plots
      • Histogram
      • Scatter Plots
      • Box Plots
      • Line Chart
      • Bar Chart
      • Pie Chart etc.
    • Dashboards
    • Project
  • Beautiful SOAP library
  • Project
  • Machine Learning Examples
    • Introduction to Machine Learning & Data Analysis
    • Machine Learning Examples
  • Statistics & Exploratory Data Analysis (EDA)
    • Descriptive Statistics
    • Descriptive Analytics
    • Measure of Central Tendency
    • Dispersion
    • Probability Distribution
    • Correlation & Covariance
    • Inferential Statistics
    • Diagnostic Analytics
    • Outliers | Missing Values
    • Sparsity
    • Inferential Statistics
    • Random Sampling
    • Hypothesis Testing
       
  • Supervised Learning
    • Installing & Using Scikit-Learn Package
    • Linear Regression
    • Multi-Linear Regression
    • Decision Tree (CART)
    • Ensemble Learning
    • Random Forest
    • xgBoost
    • K Nearest Neighbors (KNN)
    • Support Vector Machine (SVM)
    • Kernel Functions
    • Naive Bayes Classifier (NBC) / MultinomialNB Algorithm
    • GRID SEARCH CV AND RANDOM SEARCG CV
    • Linear Discriminant Analysis (LDA)
       
  • Unsupervised Learning
    • Hierachical Clustering
    • K Means Clustering
       
  • Dimensionality Reduction
    • Principal Component Analysis (PCA)
       
  • Time Series Forecasting
    • Time Series Data
    • Trend Chart
    • Stationarity
    • Seasonality
    • Moving Average
    • Exponential Smoothing
    • ARIMA
    • GARCH
       
  • Model Improvement & Validation
    • Regularization
    • Lasso
    • Ridge
    • ElasticNet
    • Cross Validation
       
  • Methods
    • Sigmoid Function
    • Entropy
    • Information Gain
    • Gini Index
    • Feature Selection
    • Ensemble Modeling (Bagging | Boosting | Stacking)
    • K Selection / Distance Metrics
    • Kernel Functions
    • Elbow Method
       
  • Metrics
    • MAE / MSE/ RMSE / R2 and Adjusted R2
    • AUC ROC CURVE
    • Precision
    • Recall
    • F1 score
    • Confusion Metrics
  • Only Theory
    • SMOTE and near miss
    • EXTRA TREE CLASSIFIER (Random forest)
    • TPOT
    • LOG LOSS
    • CROSS VALIDATION
    • KERNAL PCA
    • LIGHT GBM and cat boosting
    • DBSCAN
    • MINI BATCH K MEANS
    • Passive Aggressive Classifier Algorithm
    • Facebook Prophet
    • time series RNN LSTM
       
  • When to Use Which Algorithms!
     
  • Projects / Case Studies
    • 1) Real Estate Price Prediction
    • 2) Fraud Detection Problem in BFSI domain
    • 3) Disease Detection in Healthcare domain
    • 4) Market Segmentation in Advertising Sector
    • 5) Market Basket Analysis in Departmental Sector
    • 6) Passenger Forecasting in Aviation Sector
    • 7) News Classification in Media Sector
    • 8) Dashboard (Visualization Tool)
    • Please Note - Case studies / projects changes from time to time and will be covered along with their respective modules.
       
  • Intro to AI & Neural Networks
    • Deep Learning vs Machine Learning
    • Tech Advancement
    • All about Artificial Neural Networks (ANN)
    • Understand How Deep Neural Network Works?
    • Different variants of Gradient Descent
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Deep Learning in Python
    • Deep Learning packages in python
    • Google TensorFlow Framework
    • Model Building with default TFLearn API
    • Keras Vs TFLearn Vs Pycharm APIs
    • Model Building with Keras API Wrapper
    • Activations
    • Optimizers
    • Losses
    • Validation
    • Evaluation Metrics
    • Keras Backend
    • Callbacks - Early Stopping, TensorBoard
       
  • CNN - Convolutional Neural Networks
    • Understanding Architecture & Visualizing a CNN
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Transfer Learning
    • vgg16
      • Activations
      • Optimizers
      • Losses
      • Validation
      • Evaluation Metrics
      • Keras Backend
      • Callbacks - Early Stopping, TensorBoard
    • vgg19
      • Kernel
      • Depth
      • Pooling
    • resnrt 50
       
  • NLTK
    • Simple NLTK
      • Stemming
      • Lemitaization
      • Regex
      • Stopwords
      • Corpus
      • Unigram
      • Bigram
      • Trigram
    • BAG fo words(count vectorization)
    • TD-IDF-term frequency inverse document frequency 1
    • Word embedding
      • word 2 vec --cbow / skipgram
      • glove
    • Fasttext
    • Keyed vector
    • LSTM / RNN (bidirentional)
    • GRU(theory - Arthiecture build )
       
  • Projects & Case Studies
    • Image Recognition using MNIST Dataset
    • Object Recognition using CIFAR-10 Dataset
    • Speech Recognition (Google Voice | Alexa | Siri)
    • Sentiment Analysis and Word Clouds
    • Chat Bot Building
    • Please Note - Case studies / projects changes from time to time and will be covered along with their respective modules.
       
  • Oracle 18/21c Installation
  • Basics
    • Oracle Basics
    • Database models
    • ER Model Overview
    • Data types
    • Understanding Test Database
    • Basics Queries
    • Arithmetic and String functions
    • DML Operations - Insert, Update and Delete
    • FETCH command - Top N, Top % Rows
  • Writing Queries
  • Filters
    • DISTINCT
    • BETWEEN
    • IN
    • LIKE
    • NOT
    • NULL
    • AND, OR, NOT etc
    • Using Complex Data Filtering Techniques
  • Sorting
    • Ascending Order
    • Descending Order
    • Complex Sorting
  • Functions
    • String Functions - lower case, uppercase, substring, instring, trim etc.
    • Number Functions
    • Date Manipulation
    • Null Value Functions - NVL, NVL2, NULLIF, COALESCE
    • Conditional Expressions - Case and Decode
  • Groups
    • Basics
    • Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
    • Grouping Filters - HAVING
    • Rollups & Cubes
  • Analytic (Window) Functions
    • Over() with summary functions
    • Partition By Queries
    • ROW_NUMBER()
    • RANK()
    • DENSE_RANK()
  • Joins
    • Cartesian Product
    • Equi and Non-Equi Joins
    • Left Outer Join
    • Right Outer Join
    • Full Outer Join
    • Self Join
    • Complex Queries - Joins & Groups Integration
  • SET Operators
    • Union
    • Union All
    • Intersect
    • Minus
  • Subquery
    • Single Valued Row Sub Query
    • Multi Valued Sub Query
  • Views
  • Inline Views
  • ROWID & ROWNUM
  • TOP N Analysis or Complex Inline View
  • DDL
    • Tables - Create, Alter, Drop
    • Indexes - Types, Create, Drop
    • Constraints - Not Null, Primary Key, Unique Key, Foreign Key
    • Sequence
    • Synonyms
  • Foreign Keys
  • DML operations - Insert, Update & Delete
    • Insert, Update, Delete & Truncate
    • Common Operations
    • Creating Tables using queries
    • Bulk Data Inserts using Queries
  • Transactions ( T SQL)
    • Commit
    • Rollback
    • Savepoint
  • DCL - Grant & Revoke
  • Project
  • Introduction to Power BI
    • What is Power BI and Why Power BI
    • Installing Power BI Desktop
    • Exploring the Power BI Workflow
    • Adjusting the settings of the Power BI Desktop
    • Comparison of Power BI vs Other Reporting Tools
  • Getting and Transforming Data with Power BI Desktop
    • Connecting to different sources
    • Connecting to multiple sources
    • Different connecting Options(DirectQuery vs Import Data Vs Live Connection)
    • Shaping and transforming data with Power Query
    • Editing,Merging,Appending queries etc
  • Advance Importing techniques without coding
  • Data cleaning & Advance data cleaning
  • Modeling with Power BI
    • Introduction to Modeling
    • Building Relational Models(Setup and Manage Relationships)
    • Creating table relationships
    • Understanding the filter flow
    • Cardinality and Cross filtering
  • DAX
    • Understanding Dax Syntax
    • Calculated Columns vs Measures
    • Common Dax functions and formulae
    • Understanding the evaluation context in DAX
  • Visualising Data with Reports
    • Creating Visualisations
    • Color & Conditional Formatting
    • Setting Sort Order
    • Scatter & Bubble Charts & Play Axis
    • Tooltips
    • Slicers, Timeline Slicers & Sync Slicers
    • Cross Filtering and Highlighting
    • Visual, Page and Report Level Filters
    • Drill Down/Up
    • Hierarchies
    • Constant Lines
    • Tables, Matrices & Table Conditional Formatting
    • KPI's, Cards & Gauges
    • Map Visualisations
    • Custom Visuals
    • Managing and Arranging
    • Drillthrough
    • Custom Report Themes
    • Grouping and Binning
    • Bookmarks & Buttons
  • Introduction to Power BI Service
    • Introduction to the Power BI Service
    • Quick Tour of Power BI Service
    • Connecting to Data from Power BI service
    • Building Blocks of Power BI Service
  • Sharing and Collaboration Tools in Power BI Service
    • Sharing and Collaboration Options Overview
    • Publish from Power BI Desktop
    • Publish Reports to Web
    • Printing and Exporting from Power BI Service
    • Sharing Reports & Dashboards
    • Workspaces (My Workspace vs App Workspace)
    • Publishing Apps in Power BI Service
    • Row Level Security in Power BI Desktop and Service
  • Power BI Gateway and Refreshing Datasets
    • Understanding Gateways in Power BI
    • Difference between Personal and On-Premise Gateway
    • Installation of Personal Gateway
    • Installation of On Premise Enterprise Gateway
    • Setting Up a Gateway in Power BI Service
    • Understanding Data Refresh(Manual vs Scheduled Refresh)
    • Troubleshooting Refreshing scenarios
  • A.I. in Power BI
  • Advance Report techniques
  • Best Practices
  • Pkg1 - Data Science - 3.5 to 4 months
  • Pkg2 - Data Science & Analyst - 6 months
  • Individual courses / Customized training available

  • Upcoming Batches

  • Get Fees
  • Live Online:
  • Data Science - ₹28000 - ₹23000 (Limited Period)
  • Data Science & Analytics - ₹42000 - ₹36000 (Limited Period)
  • Individual courses / Customized training available

  • Classroom - Get Fees
  • Fees inclusive of GST
  • Upcoming Batches
Data Science Course | Data Science Career Path

Tools You Will Learn

Data Science Projects

Few of the projects covered in one of our batches

Classroom Training

Please submit inquiry form or visit institute for Fees & Batches.

Inquiry Form

Online Training

✅ Trainers will be Live & not pre-recorded lectures. Online live lectures conducted on Zoom, Googlemeet etc. Live doubt solving via screen share.
✅ 100% refund if you don't understand first 2 lectures
✅ placement support until you get job for min 12 months

Limited Time Offer

0 Days
:
2 Hours
:
40 Minutes
:
20 Seconds
Enroll Now

Total Discount On Full Course 5% off on Multi Course Pay
0 - 0 - 0 0
- 1250 (% off)
Final Pay 5250
Please Select at least one Course.
Upcoming Batch

Note : Please Select Your Preferred Batch. If unable to find your preferred timings, please submit inquiry form or talk to us.

Self Paced Learning

Online batch recorded lectures!
 
✅ Certificate
✅ Training material
✅ Project & Interview prep.
✅ 1 Year Access
✅ Instant Activation
✅ 100% Refund policy
 
(for more info please read notes section below)

Overview :-

Notes :-
✅ Instant Activation - Your course with full access gets activated immediately on payment. Hence, enroll and start learning straight away right now!

✅ Easy to Understand - It is one of our online live batch recording, hence, since our online batch students have understood the lectures and you will be learning from the same hence you can understand on your own.

✅ Observation no.1 - If you understand first 2 lectures on your own, then mostly you can easily understand entire course on your own.

✅ Recording Access - 1 year. You can watch every video max 7 times (more than sufficient) to understand and rewise the lecture.

✅ If you still have doubts - You can watch video multiple times, rewind and forward within the video to clear your concept or lastly Google to clear online. Mostly Google scenario won't if you watch without skipping and practise along with the trainer. Hence trainer's support is not needed.

✅ Trainer Support - Not available because not feasible at low fees and trainer's availability issue. Do read doubts clearing point above once again.

✅ If you still want Trainer Support - Enroll in our online or classroom training batches. Please Note - trainer of video course and live batches can be different because trainer's keep on changing from time to time. Recorded session which you will be learning is one of our successfully completed batches, hence no need to worry.

✅ Software Installation - Installation process is captured in the recording, hence installation support not provided by institute as not needed. You can Google if you have any doubts.

✅ Placement Support - Not available for recorded course training, because not possible in low fees and student's location issues. However, since we will be having your training completion data, so if our hiring companies finds your resume suitable then they can contact you directly without institute's intervention, however, direct placement support not provided by the institute.

✅ Observation no.2 - If you enroll in multiple courses as per the courses mentioned under job oriented or job guarantee training programs, then your resume automatically gets highlighted when you update on various job portals and you will get ample interview calls.

✅ Get Ready for the Job - You are learning from one of our placement training live batch recorded lectures, hence you are learning a job orineted course. So face the interview with full confidence on technologies trained by us and get ready for the job in short duration. However to get sufficient (ample) interview calls, read observation no.2 point above once again.

✅ 100% Refund Policy - Only Rs.15 (transaction charge) will be dedcuted, rest entire amount paid for the course will be refunded. Example1 - if you have paid Rs.1500 for a course, then Rs.1500-Rs.15=Rs.1485 will be refunded. Example2 - if you have paid Rs.5000 for a course, then Rs.5000-Rs.15=Rs.4985 will be refunded. Please note - You will not be eligible for the refund if you watch more than first 2 lectures or you download our training material or you request refund after 48 hours from the time of enrollment. Refund processing is an automated process without institute's intervention. Refund button is available under refund policy link which you can see after enrolling for the course. Refund button will be active until you are eligible for a refund until max 48 hours.

✅ Download Course Completion Certificate - We are an ISO certified institute and into training industry from last 10+ years with reach in 700+ locations and cities on Google, hence you will get a valid course completion certificate. You can download and verify your certificate online and institute's intervention is not needed. Download button gets activated on completion of course. Preview certificate option is available, hence once issued, certificate cannot be changed. A verification link is present on the certificate to verify your certificate on our site. Check certificate sample below.

✅ Best for - new learners, skill upgrade, want to learn job oriented course, want to learn at your own pace, revision (if already trained earlier) etc.

✅ So what are you waiting for, Enroll & Start learning straight away right now, 100% Refund policy available!

Why get Trained from us ?

10 yrs in IT Training
ISO Certified Institute
Training from Experts
Trained Globally
100% Practical Training
Reasonable Fees
Interview Preparation
Live Projects / Case Studies
Certification Course
Free Demo
1000+ Companies
Placements etc.
Lots of students got placed in ongoing training or within just 30 days of completion of training!

You can be the Next Placed Student!

Overall 1000+ Companies for Placements
(few mentioned below)

  • 1. Darwin Platform Group of Companies
  • 2. Expound Technivo Pvt Ltd
  • 3. Aniruddha Telemetry Systems
  • 4. Acura Solutions
  • 5. Yash Technologies
  • 6. AQM Technologies Pvt Ltd
  • 7. Dusane Infotech
  • 8. Freight Tiger
  • 9. Aeon IT Solutions Pvt. Ltd.
  • 10. AG Technologies Pvt.Ltd
  • 11. Binateit IT Services Pvt Ltd
  • 12. Arine Solutions Private Limited
  • 13. AscenWork Technologies Private Limited
  • 14. Prisma AI Corporation Pte. Ltd.
  • 15. Miscot Systems Pvt. Ltd.
  • 16. Appetals Solutions Private Limited
  • 17. Ardentia Technologies Pvt. Ltd.
  • 18. Atri technocrat
  • 19. G-Square Solutions Private Limited
  • 20. Nevpro Business Solutions(NBS) Pvt. Ltd.
  • 21. Beehive Software Services Pvt Ltd.
  • 22. BestoSEO Solutions
  • 23. Billtrace infotech Pvt Ltd
  • 24. EYECATCHERS
  • 25. Brandintelle Services
  • 26. Bristlecone
  • 27. CMOTS Internet Technologies
  • 28. Cirrius Technologies Private Limited
  • 29. Digi Midas
  • 30. Dure Technologies Pvt Ltd
  • 31. eBrandz Solutions Pvt. Ltd.
  • 32. Edelweiss Capital
  • 33. EDUSOFTERP
  • 34. DigiFinTax Solutions Private Limited
  • 35. T3 Softwares
  • 36. Big Rattle Technologies
  • 37. Eviska Infotech Pvt Ltd
  • 38. Unichem Laboratories Ltd.
  • 39. Retail Whizz Solutions Private Limited
  • 40. Focus Management Consultants Pvt ltd
  • 41. Gratitude India
  • 42. Hero MotoCorp Ltd.
  • 43. HR Mantra Software Pvt Ltd
  • 44. Ideatore Interactive Solutions Pvt. Ltd.
  • 45. iGenesis Technologies
  • 46. Impulse Digital
  • 47. Inspeero Technologies
  • 48. Intellecta Consultants
  • 49. Job Proffer.com
  • 50. Brilino Pvt Ltd
  • 51. Galentic Technologies Private Limited
  • 52. Hurix Systems Private Limited
  • 53. SECURITY SOFTWARE & SOLUTIONS LLP
  • 54. Steadfast IT Consulting Pvt Ltd
  • 55. Kores
  • 56. Genirex Intellect Team Pvt Ltd
  • 57. V2STech Solutions
  • 58. Meru Mobility Pvt Ltd
  • 59. Propellum Infotech Pvt Ltd
  • 60. BarrierBreak Solutions Pvt. Ltd.
  • 61. Eziway Global Management
  • 62. Goldimine Electrosystems Pvt. Ltd.
  • 63. Marathe Infotech Pvt. Ltd
  • 64. Master Computech Pvt. Ltd.
  • 65. Svatantra Micro Housing Finance Corporation Ltd
  • 66. Mphasis
  • 67. NDS GLOBAL
  • 68. Nebula Personalization Tech Solutions Pvt. Ltd
  • 69. Nestor Marketing
  • 70. Net Gains Technologies Pvt Ltd
  • 71. Nimap Infotech
  • 72. Open Radix Software Solutions
  • 73. Opportune Technologies Pvt Ltd
  • 74. Optimum Financial Solutions Pvt. Ltd
  • 75. Pinnacle People Solutions Pvt Ltd
  • 76. Qtech Software Pvt. Ltd
  • 77. SAAR IT Resources Pvt. Ltd
  • 78. Saba Technosoft
  • 79. Sahu Technologies
  • 80. Core Ocean Solutions LLP
  • 81. Seclore Technology Pvt Ltd
  • 82. Sitel
  • 83. SMART SIGHT INNOVATIONS
  • 84. SME MaXX
  • 85. Spider Software Pvt Ltd
  • 86. iFAST Financial India Private Limited
  • 87. Code array Technologies Pvt. Ltd
  • 88. Tata Consultancy Services
  • 89. TurtleDove Technologies
  • 90. Network Techlab (India) Pvt. Ltd
  • 91. Jyoti Plastics Works Pvt Ltd
  • 92. ALFA KPO PVT LTD
  • 93. The Oberoi Group
  • 94. ThinkApps Solutions Private Limited
  • 95. Transovative Solutions Pvt. Ltd.
  • 96. TranzDigi
  • 97. Ugam Solutions
  • 98. Virtual Splat Software Pvt. Ltd.
  • 99. Techatalyst Software Pvt. Ltd.
  • ... 1000+ companies

Contact Us


Mon to Sat - 10am to 7pm & upto 4 pm on Sun

Call us -
+91-7506252588
+91-7276681665

Email us -
inquiry@quickxpertinfotech.com

101, 1st Floor, Prestige Chambers CHS Ltd., Behind Dr. Babasaheb Ambedkar Statue, Besides Maurya Hotel, opp. Platform 2 Thane west rly stn.

FAQs

What Our Placed Students Say

You can be the Next Placed Student,
Inquire Now

Inquire Now Enroll Now