150+ MACHINE LEARNING PROJECT

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All 150 projects cost only 299rs

1 : Adult Salary Prediction 

2 : Bitcoin Price Prediction 

3 : Boston Housing Analysis 

4 : Indian-classical-dance problem using Machine 

5 : Income Classification using ML 

6 : IMDb Sentiment Review Analysis using ML 

7 : Advanced Hyperparameter Tuning 

8 : House Price Prediction Detailed Analysis 

9 : (HealthCare) Heart Disease Prediction 

10 : Titanic Problem Handling Missing Values 

11 : Credit Card Fraud Problem Handling Imbalance 

12 : Hand Digit Recognition Using ML 

13 : Gold Price Prediction 

14 : Fraud Detection Using ML 

15 : Forecasting using ARIMA 

16 : Flower Species Classification 

17 : Flight Fare Prediction 

18 : FIFA Data Analysis 

19 : Fashion MNIST Data Analysis Using ML 

20 : Face Mask Detection using ML 

21 : Face Expression Identifier 

22 : Employee Turnover Prediction 

23 : Earthquake Prediction 

24 : Dog Vs Cat Classification 

25 : Advanced Credit Card Fraud Detection 

26 : Cotton Disease Prediction 

27 : NLP Disaster or Not Disaster 

28 : Outliers Detection 

29 : Plant Diseases Recognition 

30 : Pneumonia Classification 

31 : In-Depth Principal Component Analysis 

32 : Rainfall Prediction 

33 : (Conceptual Analysis) Select Right Threshold Value 

34 : Live Smile Detector 

35 : Spam Classifier 

36 : Student Performance Analysis 

37 : Text Summarization (Medium) 

38 : Time Series Forecasting 

39 : Time Series With LSTM 

40 : Titanic Survival Prediction 

41 : Tracking of COVID-19 

42 : Traffic Sign Recognition 

43 : Wine Quality Prediction 

44 : XGBoost Algorithm 

45 : Customer Segmentation 

46 : Breast Cancer Detection 

47 : Car And Pedestrian Tracker 

48 : Car Price Prediction 

49 : CIFAR-10 Classification 

50 : 50 Startups Success Rate Prediction 

51 : BigMart Sales Prediction Analysis - Regression 

52 : Wine Quality Prediction Analysis - Classification 

53 : Turkiye Student Evaluation Analysis - Clustering 

54 : Traffic Forecast - Time Series Analysis 

55 : Million Songs Dataset - Recommendation Engine 

56 : Loan Prediction Analysis - Classification 

57 : Iris Dataset Analysis - Classification 

58 : Image to Text Conversion - OCR 

59 : Cross Language Information Retrieval 

60 : Digit Recognition (MNIST Sequence) 

61 : Stock Market Analysis for Tech Stocks 

62 : Titanic Dataset - Exploratory Analysis 

63 : Medical Cost Personal 

64 : Drinking Water Potability 

65 : Groundhog Day Predictions 

66 : Mall Customer Segmentation Data 

67 : Wine Production Analysis 

68 : Marketing Campaign Result Prediction 

69 : Regression - First Innings Score Prediction (IPL) 

70 : Image to Text Conversion - OCR 

71 : Autoencoder Fashion MNIST 

72 : Movie Recommendation Engine 

73 : Spam Email Classification 

74 : Traffic Sign Recognizer 

75 : Regression - Black Friday Sales Prediction Analysis 

76 : California Housing 

77 : Ad Demand Forecast Avito 

78 : Articles Recommendation System 

79 : Autoencoder for Customer Churn 

80 : Bayesian Logistic Regression (Bank Marketing) 

81 : Bayesian Statistics with Python (PyMC3, ArviZ) 

82 : BOW, TFIDF, XGBoost Update 

83 : Breast Cancer Prediction 

84 : (Conceptual) Machine Learning with spaCy 

85 : Mercari Price Suggestion using LightGBM 

86 : Modeling House Price with Regularized Linear Model 

87 : (Conceptual) NHANES Confidence Intervals 

88 : (Conceptual) NHANES Hypothesis Testing 

89 : (Conceptual) Practical Statistics for Housing (Python Update) 

90 : Price Elasticity of Demand Analysis 

91 : Promotional Time Series 

92 : PySpark Basic DataFrame Operations 

93 : Recommender Systems - The Fundamentals 

94 : (Conceptual) Regression Diagnostics 

95 : Seattle Hotels Recommender 

96 : Solving a Simple Classification Problem with Python 

97 : Spark DataFrames Project Exercise (Udemy) 

98 : (Conceptual) Supervised Learning - Part I 

99 : Weather Data Clustering using ML 

100 : (Conceptual) Working with Data 

101 : (Conceptual) XGBoost with BOW, TFIDF 

102 : Building Recommended System 

103 : Building Recommender System 

104 : CLV (Non-Contractual) 

105 : CLV (Online Retail) 

106 : Collaborative Filtering Model 

107 : Consumer Complaints Analysis 

108 : Customer Segmentation (Online) 

109 : Customer Segmentation (Who...) 

110 : Employee Turnover 

111 : Granger Causality Test 

112 : H2O Higgs Boson Analysis 

113 : Machine Learning for Diabetes 

114 : Movie Recommendation System 

115 : Language Translation Model using ML 

116 : U.S. Gasoline and Diesel Retail Prices Analysis 

117 : Twitter Sentiment Analysis 

118 : Image Captioning Project 

119 : FIFA 21 Data Cleaning 

120 : Drive Data Analysis 

121 : Advanced Uses of SHAP Values 

122 : Social Network Ads Result Analysis 

123 : Captcha Recognition 

124 : QR Code Readability 

125 : Tokyo 2020 Monitor Tweets Analysis 

126 : Tesla Car Price Prediction 

More ++++++